Jake Crawford

University of Pennsylvania — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

9h-index779citations43works2.02yr avg
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Research Topics

Bioinformatics and Genomic Networks(18), Gene expression and cancer classification(14), Cancer Genomics and Diagnostics(7), Neural Networks and Applications(6), Complex Network Analysis Techniques(4)

Publications43 total

Best holdout assessment is sufficient for cancer transcriptomic model selection
Patterns·2024· 1 citedOpen Access
Optimizer’s dilemma: optimization strongly influences model selection in transcriptomic prediction
Bioinformatics Advances·2024· 3 citedOpen Access
Optimizer’s dilemma: optimization strongly influences model selection in transcriptomic prediction
2023· 1 citedOpen Access
CAJAL enables analysis and integration of single-cell morphological data using metric geometry
Nature Communications·2023· 22 citedOpen Access
The effect of non-linear signal in classification problems using gene expression
PLoS Computational Biology·2023· 11 citedOpen Access
Supplementary files for optimizers manuscript
Figshare·2023Open Access
Supplementary files for generalization manuscript
Figshare·2023· 1 citedOpen Access
Supplementary files for optimizers manuscript
Figshare·2023Open Access
wenda_gpu: fast domain adaptation for genomic data
Bioinformatics·2022Open Access
SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses
Genomics Proteomics & Bioinformatics·2022· 9 citedOpen Access
Widespread redundancy in -omics profiles of cancer mutation states
Genome biology·2022· 9 citedOpen Access
The Effects of Nonlinear Signal on Expression-Based Prediction Performance
2022· 1 citedOpen Access
Results from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
2022Open Access
Results from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Model weights from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Input data from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Input data from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Model weights from "The Effects of Nonlinear Signal on Expression-Based Prediction Performance"
2022Open Access
Abstract 1222: Efficient domain adaptation for cancer mutation prediction
Cancer Research·2022
Multi-modal analysis and integration of single-cell morphological data
2022Open Access
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Frequent Co-authors

Casey S. Greene(23), Benjamin J. Heil(8), Maria Chikina(7), Sarvenaz Choobdar(5), Mattia Tomasoni(5), Thuc Duy Le(5), Sven Bergmann(5), Daniel Marbach(4), Brock C. Christensen(4), Mehmet Eren Ahsen(3), David Lamparter(3), Junyuan Lin(3), Benjamin Hescott(3), Xiaozhe Hu(3), Rajiv Narayan(3), Aravind Subramanian(3), Gustavo Stolovitzky(3), Zoltán Kutalik(3), Kasper Lage(3), Donna K. Slonim(3)