1.
Arazi A, Rao DA, Berthier CC, et al. The immune cell landscape in kidneys of patients with lupus nephritis. Nat Immunol. 2019;20(7):902-914. doi:10.1038/s41590-019-0398-x.
1.
Klekota J, Brauner E, Schreiber SL. Identifying biologically active compound classes using phenotypic screening data and sampling statistics. J Chem Inf Model. 2005;45(6):1824-36. doi:10.1021/ci050087d.
1.
Hoadley KA, Yau C, Hinoue T, et al. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer. Cell. 2018;173(2):291-304.e6. doi:10.1016/j.cell.2018.03.022.
1.
Kim Y-K, Arai MA, Arai T, et al. Relationship of stereochemical and skeletal diversity of small molecules to cellular measurement space. J Am Chem Soc. 2004;126(45):14740-5. doi:10.1021/ja048170p.
1.
Kuruvilla FG, Park PJ, Schreiber SL. Vector algebra in the analysis of genome-wide expression data. Genome Biol. 2002;3(3):RESEARCH0011.
1.
Shaw SY, Westly EC, Pittet MJ, Subramanian A, Schreiber SL, Weissleder R. Perturbational profiling of nanomaterial biologic activity. Proc Natl Acad Sci U S A. 2008;105(21):7387-92. doi:10.1073/pnas.0802878105.
1.
Perlstein EO, Ruderfer DM, Roberts DC, Schreiber SL, Kruglyak L. Genetic basis of individual differences in the response to small-molecule drugs in yeast. Nat Genet. 2007;39(4):496-502. doi:10.1038/ng1991.
1.
Nagiec MM, Skepner AP, Negri J, et al. Modulators of hepatic lipoprotein metabolism identified in a search for small-molecule inducers of tribbles pseudokinase 1 expression. PLoS One. 2015;10(3):e0120295. doi:10.1371/journal.pone.0120295.
1.
Wawer M, Bajorath J. Similarity-potency trees: a method to search for SAR information in compound data sets and derive SAR rules. J Chem Inf Model. 2010;50(8):1395-409. doi:10.1021/ci100197b.
1.
Wawer M, Peltason L, Bajorath J. Elucidation of structure-activity relationship pathways in biological screening data. J Med Chem. 2009;52(4):1075-80. doi:10.1021/jm8014102.