Author: Gregory P. Way

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Preprints

Opportunities And Obstacles For Deep Learning In Biology And Medicine

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Extracting a Biologically Relevant Latent Space from Cancer Transcriptomes with Variational Autoencoders

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Genomic profiling of childhood tumor patient-derived xenograft models to enable rational clinical trial design

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Sequential compression of gene expression across dimensionalities and methods reveals no single best method or dimensionality

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  • In bioinformatics: 1,359
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Comprehensive cross-population analysis of high-grade serous ovarian cancer supports no more than three subtypes

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  • In cancer biology: 232
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Implicating candidate genes at GWAS signals by leveraging topologically associating domains

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  • In bioinformatics: 1,429
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Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes

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  • In genomics: 1,692
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A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

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PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia

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Predicting cell health phenotypes using image-based morphology profiling

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Integrated Phosphoproteomics and Transcriptional Classifiers Reveal Hidden RAS Signaling Dynamics in Multiple Myeloma

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  • In cancer biology: 855
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Epigenomic profiling of neuroblastoma cell lines

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Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses

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Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual through variant-to-gene mapping

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