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Cancer research needs a better map.

Boehm JS, Garnett MJ, Adams DJ, et al. Cancer research needs a better map. Nature. 2021;589(7843):514-516. doi:10.1038/d41586-021-00182-0

A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action.

Abadi S, Yan WX, Amar D, Mayrose I. A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. PLoS Comput Biol. 2017;13(10):e1005807. doi:10.1371/journal.pcbi.1005807

Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants.

Iqbal S, Pérez-Palma E, Jespersen JB, et al. Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants. Proc Natl Acad Sci U S A. 2020;117(45):28201-28211. doi:10.1073/pnas.2002660117

GeNets: a unified web platform for network-based genomic analyses.

Li T, Kim A, Rosenbluh J, et al. GeNets: a unified web platform for network-based genomic analyses. Nat Methods. 2018;15(7):543-546. doi:10.1038/s41592-018-0039-6

Predicting cell health phenotypes using image-based morphology profiling.

Way GP, Kost-Alimova M, Shibue T, et al. Predicting cell health phenotypes using image-based morphology profiling. Mol Biol Cell. 2021;32(9):995-1005. doi:10.1091/mbc.E20-12-0784

Cardiac Function Improvement and Bone Marrow Response -: Outcome Analysis of the Randomized PERFECT Phase III Clinical Trial of Intramyocardial CD133 Application After Myocardial Infarction.

Steinhoff G, Nesteruk J, Wolfien M, et al. Cardiac Function Improvement and Bone Marrow Response -: Outcome Analysis of the Randomized PERFECT Phase III Clinical Trial of Intramyocardial CD133 Application After Myocardial Infarction. EBioMedicine. 2017;22:208-224. doi:10.1016/j.ebiom.2017.07.022

Comparative proteomics reveals a diagnostic signature for pulmonary head-and-neck cancer metastasis.

Bohnenberger H, Kaderali L, Ströbel P, et al. Comparative proteomics reveals a diagnostic signature for pulmonary head-and-neck cancer metastasis. EMBO Mol Med. 2018;10(9). doi:10.15252/emmm.201708428

Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery.

Simm J, Klambauer G, Arany A, et al. Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. Cell Chem Biol. 2018;25(5):611-618.e3. doi:10.1016/j.chembiol.2018.01.015

Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.

Bray MA, Carpenter AE. Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler. Methods Mol Biol. 2018;1683:89-112. doi:10.1007/978-1-4939-7357-6_7

Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.

Kosmicki JA, Sochat V, Duda M, Wall DP. Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning. Transl Psychiatry. 2015;5:e514. doi:10.1038/tp.2015.7