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论文共 93 篇作者统计合作学者相似作者

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Protocol for Obtaining Cancer Type and Subtype Predictions Using Subscope
Jasleen K Grewal,A Gordon Robertson,Kyle Ellrott, Christopher K Wong, Jordan A Lee,Christina Yau,Bahar Tercan, A, Christopher C Benz, Cancer Genome Atlas Analysis Network,Jean C Zenklusen, Andrew D Cherniack,Peter W Laird, Steven J M Jones
STAR protocolsno. 2 (2025): 103705-103705
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Protocol for Assessing Distances in Pathway Space for Classifier Feature Sets from Machine Learning Methods
Bahar Tercan, Victor H Apolonio, Vinicius S Chagas, Christopher K Wong, Jordan A Lee,Christina Yau,Christopher C Benz,Joshua M Stuart, Brian J Karlberg,Kyle Ellrott, Jasleen K Grewal,Steven J M Jones, Cancer Genome Atlas Analysis Network,Jean C Zenklusen,A Gordon Robertson,Peter W Laird,Andrew D Cherniack, A
STAR protocolsno. 2 (2025): 103681-103681
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Aggregating Multimodal Cancer Data Across Unaligned Embedding Spaces Maintains Tumor of Origin Signal
Raphael Kirchgaessner, Kaya Keutler, Layaa Sivakumar, Xubo Song,Kyle Ellrott
bioRxiv the preprint server for biology (2025)
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an Integrated Data Platform to Support the International Alliance for Cancer Early Detection
Brian Walsh, Liam Beckman, J. D. Burchett, Matthew Peterkort, Jordan Lee,Michael Fitzsimons, Peter Vassilatos,Binam Bajracharya,Craig Barnes,Jawad Qureshi,Robert Grossman, Carrie Yakura, Yaozhi Lu, Sarah Burge, Daniel Kelberman, Erin Watson,Kyle Ellrott
Cancer Researchno. 6_Supplement (2024): 3558-3558
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SyntheVAEiser: Augmenting Traditional Machine Learning Methods with VAE-based Gene Expression Sample Generation for Improved Cancer Subtype Predictions
Brian Karlberg, Raphael Kirchgaessner, Jordan Lee, Matthew Peterkort, Liam Beckman,Jeremy Goecks,Kyle Ellrott
Genome Biologyno. 1 (2024): 1-18
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Tumor Model to Tumor Treatment: Applying Deep Learning Approaches to Map Multimodal Data from Cancer Model Systems to Patients
Brian Karlberg, Raphael Kirchgaessner, Jeremy R. Jacobson,Kyle Ellrott,Sara J. Gosline
CANCER RESEARCHno. 6 (2024)
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作者统计

#Papers: 93

#Citation: 19544

H-Index: 27

G-Index: 60

Sociability: 7

Diversity: 2

Activity: 2

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