Gregory Way
gway-genomics.com
0000-0002-0503-9348
University of Pennsylvania
7 papers found
Refreshing results…
High-dimensional phenotyping to define the genetic basis of cellular morphology
Discovering cellular programs of intrinsic and extrinsic drivers of metabolic traits using LipocyteProfiler
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses
Implicating candidate genes at GWAS signals by leveraging topologically associating domains
A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
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