Author
Casey S. Greene
University of Colorado AnschutzORCID 0000-0001-8713-9213Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2017-2026 · peak 8/yrCo-Author Collaboration Network
10 top collaborators · 16 mutual co-author links65 papers
Recent·Most cited
- GeneticsG3 Genes Genomes GeneticsPeer-reviewed
Machine learning analysis identifies Drosophila Grunge/Atrophin as an important learning and memory gene required for memory retention and social learning.
Balint Z Kacsoh, Casey S. Greene, Giovanni Bosco
The paper uses machine learning to identify Drosophila Grunge/Atrophin as a gene critical for memory retention and social learning.
- BioinformaticsEuropean Journal of Human GeneticsPeer-reviewed
Implicating candidate genes at GWAS signals by leveraging topologically associating domains
Gregory P. Way, Daniel W. Youngstrom, Kurt David Hankenson…·Struan F.A. Grant
The paper introduces a method to identify candidate genes at GWAS signals by analyzing gene content within topologically associating domains, demonstrating its application to bone mineral density data.
21 citations - Systems BiologyCell SystemsPeer-reviewed
Unsupervised extraction of stable expression signatures from public compendia with eADAGE
Jie Tan, Georgia Doing, Kimberley A. Lewis…·Casey S. Greene
The paper introduces eADAGE, an ensemble method to extract stable expression signatures from public data, revealing a phosphate starvation response in Pseudomonas aeruginosa controlled by PhoB and requiring KinB.
89 citationstop 3% - GenomicsBMC GenomicsPeer-reviewed
A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
Gregory P. Way, Robert J. Allaway, Stephanie J. Bouley…·Casey S. Greene
The paper trains a machine learning classifier on cancer transcriptomes to detect NF1 inactivation in glioblastoma, showing it can predict NF1 status based on gene expression and mutation data.
34 citations