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Patterns (New York, N.Y.)|January 8, 2025
Best holdout assessment is sufficient for cancer transcriptomic model selectionJake Crawford, Maria Chikina, Casey S GreeneBioinformatics Advances|January 29, 2024
Optimizer's dilemma: optimization strongly influences model selection in transcriptomic predictionJake Crawford, Maria Chikina, Casey S GreeneGenome Biology|June 27, 2022
Widespread redundancy in -omics profiles of cancer mutation statesJake Crawford, Brock C Christensen, Maria Chikina, et al.Current Opinion in Biotechnology|January 22, 2020
Incorporating biological structure into machine learning models in biomedicineJake Crawford, Casey S GreenePlos Computational Biology|March 27, 2023
The effect of non-linear signal in classification problems using gene expressionBenjamin J Heil, Jake Crawford, Casey S GreeneBioinformatics (Oxford, England)|October 4, 2022
wenda_gpu: fast domain adaptation for genomic dataAriel A Hippen, Jake Crawford, Jacob R Gardner, et al.Biorxiv : the Preprint Server for Biology|August 14, 2023
MousiPLIER: A Mouse Pathway-Level Information Extractor ModelShuo Zhang, Benjamin J Heil, Weiguang Mao, et al.Eneuro|May 24, 2024
MousiPLIER: A Mouse Pathway-Level Information Extractor ModelShuo Zhang, Benjamin J Heil, Weiguang Mao, et al.Science Translational Medicine|February 10, 2017
Tell me your neighbors, and I will tell you what you areCasey S GreeneGenomics, Proteomics & Bioinformatics|October 10, 2022
SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional ResponsesAlexandra J Lee, Dallas L Mould, Jake Crawford, et al.Pageof 26