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A
Aluru C, Singh M. Improved inference of tandem domain duplications. Bioinformatics. 2021 ;37(Suppl_1):i133-i141.
M Amin J, Petry S, Yang H, Shaevitz JW. Uniform intensity in multifocal microscopy using a spatial light modulator. PLoS One. 2020 ;15(3):e0230217.
B
Balasubramanian V, Kimber D, Berry MJ. Metabolically efficient information processing. Neural Comput. 2001 ;13(4):799-815.
Bass AJ, Storey JD. The optimal discovery procedure for significance analysis of general gene expression studies. Bioinformatics. 2021 ;37(3):367-374.
Baym M, Shaket L, Anzai IA, Adesina O, Barstow B. Rapid construction of a whole-genome transposon insertion collection for Shewanella oneidensis by Knockout Sudoku. Nat Commun. 2016 ;7:13270.
Berman GJ, Bialek W, Shaevitz JW. Predictability and hierarchy in Drosophila behavior. Proc Natl Acad Sci U S A. 2016 ;113(42):11943-11948.
Bitbol A-F, Dwyer RS, Colwell LJ, Wingreen NS. Inferring interaction partners from protein sequences. Proc Natl Acad Sci U S A. 2016 ;113(43):12180-12185.
C
Cabreros I, Storey JD. A Likelihood-Free Estimator of Population Structure Bridging Admixture Models and Principal Components Analysis. Genetics. 2019 ;212(4):1009-1029.
Chen L, Lu W, Wang L, Xing X, Chen Z, Teng X, et al. Metabolite discovery through global annotation of untargeted metabolomics data. Nat Methods. 2021 ;18(11):1377-1385.
Chen KM, Cofer EM, Zhou J, Troyanskaya OG. Selene: a PyTorch-based deep learning library for sequence data. Nat Methods. 2019 ;16(4):315-318.
Chung NChristophe, Storey JD. Statistical significance of variables driving systematic variation in high-dimensional data. Bioinformatics. 2015 ;31(4):545-54.
Covington BC, Seyedsayamdost MR. MetEx, a Metabolomics Explorer Application for Natural Product Discovery. ACS Chem Biol. 2021 ;16(12):2825-2833.
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Diegmiller R, Zhang L, Gameiro M, Barr J, Alsous JImran, Schedl P, et al. Mapping parameter spaces of biological switches. PLoS Comput Biol. 2021 ;17(2):e1008711.
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Giovannucci A, Friedrich J, Gunn P, Kalfon J, Brown BL, Koay SAnn, et al. CaImAn an open source tool for scalable calcium imaging data analysis. Elife. 2019 ;8.
Gopalan P, Hao W, Blei DM, Storey JD. Scaling probabilistic models of genetic variation to millions of humans. Nat Genet. 2016 ;48(12):1587-1590.
Gorenshteyn D, Zaslavsky E, Fribourg M, Park CY, Wong AK, Tadych A, et al. Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases. Immunity. 2015 ;43(3):605-14.
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Hao W, Song M, Storey JD. Probabilistic models of genetic variation in structured populations applied to global human studies. Bioinformatics. 2016 ;32(5):713-21.
Hristov BH, Singh M. Network-Based Coverage of Mutational Profiles Reveals Cancer Genes. Cell Syst. 2017 ;5(3):221-229.e4.
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Kang YGwi, Lee JTaek, Kang JYeal, Kim GHye, Kim TKyun. Analysis of Longitudinal Outcome Data with Missing Values in Total Knee Arthroplasty. J Arthroplasty. 2016 ;31(1):81-6.
Klibaite U, Shaevitz JW. Paired fruit flies synchronize behavior: Uncovering social interactions in Drosophila melanogaster. PLoS Comput Biol. 2020 ;16(10):e1008230.
Kloosterman AM, Cimermancic P, Elsayed SS, Du C, Hadjithomas M, Donia MS, et al. Expansion of RiPP biosynthetic space through integration of pan-genomics and machine learning uncovers a novel class of lanthipeptides. PLoS Biol. 2020 ;18(12):e3001026.
Kopec CD, Bowers AC, Pai S, Brody CD. Semi-automated atlas-based analysis of brain histological sections. J Neurosci Methods. 2011 ;196(1):12-9.
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Lee Y-S, Wong AK, Tadych A, Hartmann BM, Park CY, DeJesus VA, et al. Interpretation of an individual functional genomics experiment guided by massive public data. Nat Methods. 2018 ;15(12):1049-1052.
Li X, Hui S, Mirek ET, Jonsson WO, Anthony TG, Lee WDong, et al. Circulating metabolite homeostasis achieved through mass action. Nat Metab. 2022 ;4(1):141-152.
Lovelett RJ, Zhao EM, Lalwani MA, Toettcher JE, Kevrekidis IG, Avalos JL. Dynamical Modeling of Optogenetic Circuits in Yeast for Metabolic Engineering Applications. ACS Synth Biol. 2021 ;10(2):219-227.