MIA Talks Search
Date | Speaker | Title |
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May 24 | Primer: TBD | |
May 24 | Talk: TBD | |
May 10 | Primer: TBD | |
May 10 | Talk: TBD | |
Apr 26 |
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Primer: TBD |
Apr 26 |
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Talk: TBD |
Apr 19 | Primer: TBD | |
Apr 19 | Talk: TBD | |
Apr 12 | Primer: TBD | |
Apr 12 | Talk: TBD | |
Apr 5 | Primer: TBD | |
Apr 5 | Talk: TBD | |
Mar 22 |
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Primer: TBD |
Mar 22 | Talk: TBD | |
Mar 8 |
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Primer: TBD |
Mar 8 | Talk: TBD | |
Mar 1 |
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Primer: Group Fairness in Chest X-ray Diagnosis: Helpful or Harmful? |
Mar 1 |
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Hiding in plain sight – What does AI’s ability to detect patterns not visible to radiologists mean? |
Feb 15 |
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Talk: TBD |
Feb 8 |
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Primer: Charting the Landscape of 3D Genome Organization with Graph Representation Learning |
Date | Speaker | Title |
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Feb 8 |
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High-Throughput In Silico Genetic Screen for Discovering Novel 3D Genome Organization Regulation |
Feb 1 |
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Learning to read and write protein evolution |
Date | Speaker | Title |
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Sep 14 |
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Primer: An Introduction to Bayesian Variable Selection [Video] |
Sep 14 |
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Applications of Bayesian Variable Selection to Bioinformatics [Video] |
Date | Speaker | Title |
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Mar 9 |
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Quantifying axes of inter-sample variability among transcriptional neighborhoods in single-cell datasets [Video] |
Mar 2 |
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Primer: From matchings to optimal transport, use cases and algorithms [Video] |
Mar 2 |
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Moscot: A scalable toolbox for optimal transport problems in single cell genomics [Video] |
Feb 23 | NO MEETING THIS WEEK | |
Feb 16 |
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Primer: Clarifying confusion in scRNA-seq analysis [Video] |
Feb 16 |
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Learning the "parts" of cells using topic models [Video] |
Feb 9 |
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Primer: A deep learning approach to structural variant discovery [Video] |
Feb 9 |
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Cue: A framework for cross-platform structural variant calling and genotyping with deep learning [Video] |
Feb 2 |
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Primer: Canonical correlation analysis and the structure of psychedelic experience; Towards a neurophenomenological cartography of the cortex |
Feb 2 |
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Trips and neurotransmitters; Discovering principled patterns across 6850 hallucinogenic experiences |
Jan 26 | NO MEETING THIS WEEK | |
Jan 19 |
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Primer: Comparing gene expression data across species using evolutionary methods (note: 10am start) [Video] |
Jan 19 |
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Developing a systems approach to understanding adaptive evolutionary change using Hawaiian Drosophila as a model clade (note: 11am start) |
Date | Speaker | Title |
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Dec 1 |
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Polygenic priority score for GWAS gene prioritization [Video] |
Dec 1 |
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A new approach for high-dimensional hierarchical modeling [Video] |
Nov 24 | NO MEETING THIS WEEK | |
Nov 17 | NO MEETING THIS WEEK | |
Nov 10 |
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Primer: Genomic tools for interpreting patterns of somatic driver and passenger mutations in cancer [Video] |
Nov 10 |
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Biologically informed deep neural network for prostate cancer discovery [Video] |
Nov 3 | NO MEETING THIS WEEK |
Date | Speaker | Title |
---|---|---|
Oct 27 |
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Primer: Capturing regulatory information encoded in RNA secondary structure [Video] |
Oct 27 |
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Computational tools for deciphering the RNA structural code [Video] |
Oct 20 |
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Lightning talks (9am start, no primer) [Video] |
Oct 13 |
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Scalable analysis of electron microscopy connectomics data: Revealing neural circuit properties using contrastive deep learning [Video] |
Oct 13 |
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No such thing as unlabeled: Self-supervised learning on medical data [Video] |
Oct 6 |
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Primer: Advancements and challenges for deep learning in medical imaging [Video] |
Oct 6 |
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3KG: Contrastive learning of 12-lead electrocardiograms using physiologically-inspired augmentations [Video] |
Sep 29 |
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Primer: Latent space learning in single cell genomics: Current approaches and challenges [Video] |
Sep 29 |
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Deep interpretable perturbation modeling in single cell genomics¹; Learning cell communication from spatial graphs of cells² [Video] |
Sep 22 |
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Visual recognition from one or more images [Video] |
Sep 22 |
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Representation learning for single-cell, image-based phenotyping [Video] |
Sep 15 | NO MEETING THIS WEEK | |
Sep 8 | No primer | |
Sep 8 |
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Multimodal single-cell data, open benchmarks, and a NeurIPS 2021 competition (Note: 9am start) [Video] |
Date | Speaker | Title |
---|---|---|
Jun 2 |
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Primer: Optimal thinning of mcmc output with application to cardiac electrophysiology [Video] |
Jun 2 |
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Probabilistic inference and learning with Stein’s method [Video] |
May 26 | NO MEETING THIS WEEK | |
May 19 | NO MEETING THIS WEEK | |
May 12 |
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Primer: Deep learning for biomedical networks: Methods, challenges, and frontiers [Video] |
May 12 |
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Actionable machine learning for drug discovery and development [Video] |
Date | Speaker | Title |
---|---|---|
Feb 17 | NO MEETING THIS WEEK | |
Feb 10 | No primer | |
Feb 10 |
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Bayesian methods for adaptive experimental design [Video] |
Feb 3 | No primer | |
Feb 3 |
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The 3D genome and predictive models of gene regulation |
Jan 27 |
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Primer: Genomic investigations of evolutionary dynamics and epistasis in microbial evolution experiments [Video] |
Jan 27 |
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Predictable patterns in phenotypic evolution [Video] |
Date | Speaker | Title |
---|---|---|
Oct 14 | No primer | |
Oct 14 |
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Machine learning-based design of proteins (and small molecules and beyond) (Note: 12pm start) [Video] |
Oct 7 |
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Primer: Biological sequence design through machine-guided exploration [Video] |
Oct 7 |
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Machine-guided capsid engineering for gene therapy [Video] |
Sep 30 |
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Primer: Modeling cardiovascular physiology [Video] |
Sep 30 |
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Physiology-inspired machine learning models for predicting adverse cardiovascular outcomes [Video] |
Sep 23 |
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Primer: Learning personalized treatment policies from observational data [Video] |
Sep 23 |
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Going beyond diagnosis and prognosis: Machine learning to guide treatment suggestions [Video] |
Sep 16 |
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Primer: Machines read, humans read: parallels between computer and human representations of meaning (Note: 11am start) [Video] |
Sep 16 |
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Decoding word meaning from brain images collected during language production (Note: 12pm start) [Video] |
Sep 9 |
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Primer: Gaussian processes: An introduction [Video] |
Sep 9 |
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Fast discovery of pairwise interactions in high dimensions using Bayes [Video] |
Date | Speaker | Title |
---|---|---|
May 20 | NO MEETING, SEE YOU NEXT SEMESTER! | |
May 13 |
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Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
May 13 |
|
TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
May 6 |
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Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
May 6 |
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TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 29 |
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Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 29 |
|
TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 22 |
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Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Date | Speaker | Title |
---|---|---|
Apr 22 |
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TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 15 | NO MEETING | |
Apr 8 |
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Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 8 |
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TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 6 |
|
Geometric deep learning for functional protein design (Note: Joint CC&E/MIA Special Seminar, Monday at 9:30AM. See abstract for Zoom instructions) [Video] |
Apr 1 |
|
Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Apr 1 |
|
TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Mar 25 | NO MEETING | |
Mar 18 |
|
Primer: TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Mar 18 |
|
TBD (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Mar 11 |
|
Primer: Biological sequence design through machine-guided exploration (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Mar 11 |
|
Machine-guided capsid engineering for gene therapy (NOTE: POSTPONED UNTIL FURTHER NOTICE) |
Mar 4 |
|
Primer: Only connect: The variety and splendor of neural network architectures |
Mar 4 |
|
Deep learning enables efficient genetic analysis of the human thoracic aorta |
Feb 26 |
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Primer: The multiple testing problem [Video] |
Feb 26 |
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Smoothed nested testing on directed acyclic graphs [Video] |
Feb 19 | NO MEETING | |
Feb 12 |
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Primer: Enforcing Lipschitz constraints for neural networks [Video] |
Feb 12 |
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Efficient Lipschitz-constrained neural networks [Video] |
Feb 5 |
|
Screening: VAEs & Deep Inverse Modeling (Note: 10-11am in the Auditorium) |
Date | Speaker | Title |
---|---|---|
Jan 29 | No primer | |
Jan 29 | Topics Groups Nucleation Event (10-11am in Monadnock) |
Date | Speaker | Title |
---|---|---|
Oct 9 |
Primer: The geometry of linear regression, privacy-preserving linear algebra, and multi-party GWAS [Video] |
|
Oct 9 |
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Key ideas in linear algebra [Video] |
Oct 2 |
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Primer: Intro to computer vision and its relationship to machine learning [Video] |
Oct 2 |
|
Computer vision for hearts and cells [Video] |
Sep 25 |
|
Primer: Learning biological patterns across domains: Investigating and integrating information across data types and sources [Video] |
Sep 25 |
|
From predicting to explaining biology using machine learning [Video] |
Sep 18 |
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Primer: DNA damage bypass is a major source of clustered mutations [Video] |
Sep 18 |
|
Population sequencing data reveal a compendium of mutational processes in human germline [Video] |
Sep 11 |
|
Primer: Impact of mutagenesis efficiency and selection stringency modulation during continuous directed evolution [Video] |
Sep 11 |
|
Synthetic genetic systems for rapid mutation and continuous evolution in vivo [Video] |
Date | Speaker | Title |
---|---|---|
May 29 |
|
Interpretable convolutional networks for regulatory genomics [Video] |
May 22 |
|
Primer: Generative models from NLP for sequence data [Video] |
May 22 |
|
Alignment-free models for protein and antibody design [Video] |
May 15 |
|
Primer: Mechanisms for generalized learning across tasks and environments [Video] |
May 15 |
|
Personalized HeartSteps: A reinforcement learning algorithm for optimizing physical activity [Video] |
May 8 |
|
Primer: Inference of high-dimensional dynamics [Video] |
May 8 |
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Lineage tracing on transcriptional landscapes links state to fate during differentiation [Video] |
May 6 |
|
Blind denoising by self-supervision [Video] |
May 1 |
|
Primer: Hidden Markov models in phasing and imputation [Video] |
May 1 |
|
Imputing genomic repeat variants and assessing their phenotypic effects [Video] |
Date | Speaker | Title |
---|---|---|
Feb 6 |
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Using random matrix theory to extract signals from single-cell expression data [Video] |
Jan 30 |
|
Primer: Super deep generative networks for cat robots: or how I learned to start worrying more about the public conversation [Video] |
Jan 30 |
|
Group exercise: The story algorithm |
Date | Speaker | Title |
---|---|---|
Dec 12 |
|
Primer: Challenges in high-dimensional variable selection [Video] |
Dec 12 |
|
Using knockoffs to find important variables with statistical guarantees [Video] |
Dec 5 |
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Primer: A deconvolution framework for the analysis of CRISPR tiling screen data [Video] |
Dec 5 |
|
Single-cell trajectory reconstruction, exploration and mapping from omics data [Video] |
Nov 14 |
|
Primer: Intro to non-negative matrix factorization [Video] |
Nov 14 |
|
Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq [Video] |
Nov 7 |
|
Primer: Intro to topic models [Video] |
Nov 7 |
|
Topic modeling the transcriptional spectrum in innate lymphoid cells [Video] |
Oct 31 |
|
Primer: Robust nonlinear manifold learning for single cell RNA-seq data [Video] |
Oct 31 |
|
Experimental design for maximizing cell-type discovery in single-cell data [Video] |
Oct 24 |
|
Lightning talk social |
Oct 24 |
|
Studying cell and tissue physiology with random composite experiments [Video] |
Oct 17 |
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Primer: Manifold learning and graph signal processing of high-dimensional, high-throughput biological data [Video] |
Oct 17 |
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Manifold learning yields insight into cellular state space under complex experimental conditions [Video] |
Oct 10 |
|
Biomedical data sharing and analysis with privacy [Video] |
Oct 3 |
|
What might machine learners learn from probabilistic programming? [Video] |
Sep 26 |
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Primer: Submodular maximization and machine learning [Video] |
Date | Speaker | Title |
---|---|---|
Sep 26 |
|
Maximizing submodular functions exponentially faster [Video] |
Sep 19 |
|
Primer: Why is deep learning so deep? [Video] |
Sep 19 |
|
Mapping the brain with machine learning [Video] |
Jul 11 |
|
Transcriptomic modeling of chemotherapy side effects using human iPSC-derived cardiomyocytes [Video] |
Date | Speaker | Title |
---|---|---|
May 23 |
|
Primer: Learning from molecular structure [Video] |
May 23 |
|
Convolutional models of molecular structure [Video] |
May 16 |
|
Primer: How philosophy of science can help us better deploy machine learning in biology [Video] |
May 16 |
|
Interpreting sequence models |
May 9 |
|
Primer: Contrastive PCA [Video] |
May 9 |
|
AI audit to uncover blind spots of data |
May 2 |
|
How to make a picture worth a thousand numbers: Models and methods in biological image analysis [Video] |
Apr 25 |
|
Primer: Hamilton's rule makes no prediction and cannot be tested empirically [Video] |
Apr 25 |
|
Evolutionary dynamics [Video] |
Apr 11 |
|
Learning protein structure with a differentiable simulator [Video] |
Apr 4 |
|
Primer: Inference of biological networks with biophysically motivated methods [Video] |
Apr 4 |
|
Multitask learning approaches to biological network inference: linking model estimation across diverse related datasets [Video] |
Mar 28 |
|
Variant filtering and calling with convolutional neural networks [Video] |
Mar 21 |
|
Evolutionary dynamics on any population structure [Video] |
Mar 7 |
|
Inferring microbial phenotypes through latent representations of biological diversity |
Feb 28 |
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Primer: Kernel methods and the kernel "trick" [Video] |
Date | Speaker | Title |
---|---|---|
Feb 28 |
|
Linking gut microbiomes, genomes and phenotypes via linear mixed models and kernel methods [Video] |
Feb 21 |
|
Leveraging long range phasing to detect mosaicism in blood at ultra-low allelic fractions |
Feb 14 |
|
Primer: Causal inference [Video] |
Feb 14 |
|
AI for health needs causality [Video] |
Feb 7 |
|
Rapid bacterial adaptation within individual human microbiomes |
Date | Speaker | Title |
---|---|---|
Dec 13 |
|
In search of lost time: Reconstructing the evolutionary history of cancer genomes [Video] |
Dec 6 |
|
Primer: Integrated, tissue-specific analysis of biological data [Video] |
Dec 6 |
|
From genome to networks: A data-driven, tissue-specific view of human disease |
Nov 29 |
|
Primer: Introduction to Hi-C |
Nov 29 |
|
A 3D Code in the human genome |
Nov 15 |
|
Machine-learning-based CRISPR guide design [Video] |
Nov 8 |
|
Automated Machine Learning [Video] |
Nov 1 |
|
Message passing algorithms for cryo-EM and synchronization [Video] |
Oct 25 |
|
Primer: Hypothesis testing and measures of dependence [Video] |
Oct 25 |
|
Detecting novel associations in large data sets [Video] |
Oct 11 |
|
Primer: Intro to tumor immunity [Video] |
Oct 11 |
|
Improving endogenous antigen prediction to support personalized cancer vaccine development [Video] |
Oct 4 |
|
Insight into the biology of common diseases using summary statistics of large genome-wide association studies [Video] |
Sep 27 |
|
Primer: A tutorial on optimal transport [Video] |
Sep 27 |
|
Learning developmental landscapes from single-cell gene expression with optimal transport [Video] |
Date | Speaker | Title |
---|---|---|
Sep 20 |
|
Learning phylogeny through f-statistics [Video] |
Sep 13 |
|
Primer: Generalized least squares [Video] |
Sep 13 |
|
Detecting effects of transcription factors on disease [Video] |
Sep 6 |
|
Primer: Classifying genomic sequences with convolutional neural networks [Video] |
Sep 6 |
|
Reading the rules of gene regulation from the human noncoding genome [Video] |
Date | Speaker | Title |
---|---|---|
Dec 14 |
|
What is a compiler? [Video] |
Dec 14 |
|
Compiling probabilistic programs [Video] |
Dec 7 |
|
Mass spectrometry-based proteomics [Video] |
Dec 7 |
|
Spectral unmixing for next-generation mass spectrometry proteomics [Video] |
Nov 16 |
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Practical recommendations for training convolutional neural nets [Video] |
Nov 16 |
|
Deep learning for computational pathology [Video] |
Nov 9 |
|
Dirichlet processes [Video] |
Nov 9 |
|
Algorithms for reconstructing tumor evolution [Video] |
Nov 2 |
|
Integrative, interpretable deep learning frameworks for regulatory genomics and epigenomics [Video] |
Oct 26 |
|
Automatic differentiation, the algorithm behind all deep neural networks [Video] |
Oct 26 |
|
FIDDLE: An integrative deep learning framework for functional genomic data inference [Video] |
Oct 12 |
|
Topological data analysis: What is persistent homology? [Video] |
Oct 12 |
|
Topological data analysis: What can persistent homology see? [Video] |
Sep 28 |
|
Experimental and computational techniques underlying RNA-seq [Video] |
Sep 28 |
|
Overcoming bias and batch effects in high-throughput data [Video] |
Date | Speaker | Title |
---|---|---|
Sep 21 |
|
Probabilistic generative models and posterior inference [Video] |
Sep 21 |
|
Automated inference and the promise of probabilistic programming [Video] |
Sep 14 |
|
Composite measurements and molecular compressed sensing for efficient transcriptomics at scale [Video] |
Sep 14 |
|
Introduction to compressed sensing |
Date | Speaker | Title |
---|---|---|
Jun 1 |
|
Identifying molecular markers for cancer treatment from big data |
May 25 |
|
MIA Breakfast Social |
May 18 |
|
Basic introduction to distributed computation [Video] |
May 18 |
|
Scaling data analysis with Apache Spark [Video] |
May 11 |
|
Variational Bayesian inference [Video] |
May 11 |
|
Scaling and generalizing variational inference [Video] |
May 4 |
|
Gaussian processes [Video] |
May 4 |
|
Bayesian structured sparsity: Rethinking sparse regression [Video] |
Apr 27 |
|
Linear codes [Video] |
Apr 27 |
|
Compressed experiments [Video] |
Apr 27 |
|
The science of information: Case studies from DNA and RNA assembly [Video] |
Apr 20 |
|
Multiple testing and false discovery rate |
Apr 20 |
|
DNA microscopy and the sequence-to-image inverse problem |
Apr 13 |
|
t-dist. stochastic neighbor embedding (t-SNE) |
Apr 13 |
|
Information in cell images: Targeting diseases and characterizing compounds |
Apr 6 |
|
Convolutional neural nets |
Date | Speaker | Title |
---|---|---|
Apr 6 |
|
AtomNet: a deep convolutional neural net for bioactivity prediction in structure-based drug discovery |
Mar 30 |
|
Non-negative matrix factorization (NMF) |
Mar 30 |
|
The effects of population pedigrees on gene genealogies |
Mar 23 |
|
Linear models III: regularization, LASSO and sparsity |
Mar 23 |
|
A quick introduction to TensorFlow and related API's |
Mar 16 |
|
Linear models II: Regularization and ridge |
Mar 16 |
|
Open source tools for large-scale neuroscience [Video] |
Mar 9 |
|
Linear models I: Ordinary least squares |
Mar 9 |
|
Haplotype phasing in large cohorts: Modeling, search, or both? |
Mar 2 |
|
Hidden Markov models II |
Mar 2 |
|
Polymer models of chromosomes |
Feb 24 |
|
Hidden Markov models I |
Feb 24 |
|
Sparse inverse problems |
Feb 17 |
|
Frequentist vs Bayesian inference |
Feb 17 |
|
Gene regulation in space and time [Video] |
Feb 10 |
|
Primer: Principal component analysis (PCA) |
Feb 10 |
|
Systems biology: Can mathematics lead experiments? |
Feb 3 |
|
Judging the importance of human mutations using evolutionary models |
Jan 27 |
|
Genomic medicine: Will software eat bio? |
Date | Speaker | Title |
---|---|---|
Nov 30 |
|
TS II. Modeling structure in time series |
Date | Speaker | Title |
---|---|---|
Nov 23 |
|
TS I. Mapping sub-second structure in mouse behavior |
Nov 16 |
|
Harvard Stem Cell NN III. Learning the regulatory code of the accessible genome with deep convolutional neural nets |
Nov 12 |
|
Machine learning and the life sciences: Beyond data analysis [Video] |
Nov 9 |
|
NN II. Convolutional networks on graphs for learning molecular fingerprints |
Nov 2 |
|
NN I. Reverse-mode differentiation and autograd |
Oct 19 |
|
DM II. Discrete models with continuous latent structure: A new hope |
Oct 13 |
|
DM I. Bayesian logistic regression and mixed models: Revenge of the Gibbs |
Sep 21 |
|
CS2: Compressed sensing |
Sep 21 |
|
CS1: Exploiting sparse and quantized signals to solve linear systems |
Sep 14 |
|
Quantifying protein isoforms |
Date | Speaker | Title |
---|---|---|
Jul 27 |
|
Challenges in normalization of RNAseq data |
Jul 20 |
|
LD score regression for distinguishing confounding from polygenicity |
Jul 13 |
|
Introduction to evolutionary algorithms and NEAT |
Jul 6 |
|
The Chinese restaurant process and Indian buffet process |
Jun 29 |
|
Introduction to Dirichlet processes |
Jun 22 |
|
Conjugate priors and Hardy-Weinberg equilibrium (Bishop, Ch2) |
Jun 15 |
|
Discussion of Pachter's p-value prize |
Jun 8 |
|
Choosing priors in Bayesian inference |
Jun 1 |
|
Graph-based genetic sequence representation |
Date | Speaker | Title |
---|---|---|
May 4 |
|
Introduction to Gaussian processes and Bayesian optimization (Bishop, Ch6) |
Date | Speaker | Title |
---|---|---|
Apr 28 |
|
Connectivity map and challenges in data normalization |
Apr 14 |
|
Linear mixed models for genetic association analysis |
Apr 7 |
|
Genetic fingerprints and contamination estimation |
Mar 30 |
|
Markov Chain Monte Carlo and Gibbs sampling on Gaussian mixture models (Bishop, Ch11) |
Mar 23 |
|
Variant quality score recalibration |
Mar 16 |
|
Variational Bayes and inference on Gaussian mixture models (Bishop, Ch10) |
Mar 9 |
|
Expectation maximization and inference on Gaussian mixture models (Bishop, Ch9) |
Mar 2 |
|
Introduction to Bayesian graphical models: the Gaussian mixture model (Bishop, Ch8) |
Feb 24 |
|
Comparison of dimensional reduction methods: PCA, ICA, NMF, tSNE, and diffusion maps |
Jan 26 |
|
Independent component analysis (ICA) and projection pursuit |
Date | Speaker | Title |
---|---|---|
Dec 15 |
|
Non-linear dimensional reduction: tSNE and diffusion maps |
Dec 8 |
|
Non-negative matrix factorization (NMF) |
Nov 24 |
|
Principle component analysis (PCA) and the Marchenko-Pastur law |
Nov 3 |
|
Puzzle day: Drunk Monty Hall, the two envelopes, the bloody crime scene, and Simpson's paradox |
Oct 27 |
|
Optimal coverage in rare variant association studies |
Oct 20 |
|
Detecting sample swap |
Oct 6 |
|
Contingency tables III: Examples in genetics |
Sep 29 |
|
Contingency tables II: Correlation, Pearson chi-squared test, and Fisher exact test |
Sep 22 |
|
Contingency tables I: t-test and z-test |
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