1.
Margolin AA, Ong S-E, Schenone M, et al. Empirical Bayes analysis of quantitative proteomics experiments. PLoS One. 2009;4(10):e7454. doi:10.1371/journal.pone.0007454.
1.
McGuire AM, Galagan JE. Conserved secondary structures in Aspergillus. PLoS One. 2008;3(7):e2812. doi:10.1371/journal.pone.0002812.
1.
Lawrence MS, Stojanov P, Polak P, et al. Mutational heterogeneity in cancer and the search for new cancer-associated genes. Nature. 2013;499(7457):214-218. doi:10.1038/nature12213.
1.
Helming KC, Wang X, Wilson BG, et al. ARID1B is a specific vulnerability in ARID1A-mutant cancers. Nat Med. 2014;20(3):251-4. doi:10.1038/nm.3480.
1.
Manrai AK, Bhatia G, Strymish J, Kohane IS, Jain SH. Medicine’s uncomfortable relationship with math: calculating positive predictive value. JAMA Intern Med. 2014;174(6):991-3. doi:10.1001/jamainternmed.2014.1059.
1.
Macarthur DG, Manolio TA, Dimmock DP, et al. Guidelines for investigating causality of sequence variants in human disease. Nature. 2014;508(7497):469-76. doi:10.1038/nature13127.
1.
Li H. BFC: correcting Illumina sequencing errors. Bioinformatics. 2015;31(17):2885-7. doi:10.1093/bioinformatics/btv290.
1.
Swamidass J, Bittker JA, Bodycombe NE, Ryder SP, Clemons PA. An economic framework to prioritize confirmatory tests after a high-throughput screen. J Biomol Screen. 2010;15(6):680-6. doi:10.1177/1087057110372803.
1.
Ozkumur AY, Goods BA, Love C. Development of a High-Throughput Functional Screen Using Nanowell-Assisted Cell Patterning. Small. 2015;11(36):4643-50. doi:10.1002/smll.201500674.
1.
Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN. Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet. 2003;33(2):177-82. doi:10.1038/ng1071.