Author response: Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra Article Swipe

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N Bhattacharya , Anja Rockstroh , Sanket Suhas Deshpande , Sam Koshy Thomas , Anunay Yadav , Chitrita Goswami , Smriti Chawla , Pierre Solomon , Cynthia Fourgeux , Gaurav Ahuja , Brett G. Hollier , Himanshu Kumar , Antoine Roquilly , Jérémie Poschmann , Melanie Lehman , Colleen C. Nelson , Debarka Sengupta ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.7554/elife.98469.3.sa2

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Phenotype

Computer Science

Computational Biology

Artificial Intelligence

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Phenotype Stratification (seeds) Transcriptome Computer science Computational biology Artificial intelligence Biology Genetics Gene Gene expression Germination Seed dormancy Botany Dormancy

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Type: peer-review
Language: en
Landing Page: https://doi.org/10.7554/elife.98469.3.sa2
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4411281847

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OpenAlex ID: https://openalex.org/W4411281847

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DOI: https://doi.org/10.7554/elife.98469.3.sa2

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Title: Author response: Artificial intelligence driven tumor risk stratification from single-cell transcriptomics using phenotype algebra

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Type: peer-review

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Language: en

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Publication year: 2025

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Publication date: 2025-06-13

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Authors: N Bhattacharya, Anja Rockstroh, Sanket Suhas Deshpande, Sam Koshy Thomas, Anunay Yadav, Chitrita Goswami, Smriti Chawla, Pierre Solomon, Cynthia Fourgeux, Gaurav Ahuja, Brett G. Hollier, Himanshu Kumar, Antoine Roquilly, Jérémie Poschmann, Melanie Lehman, Colleen C. Nelson, Debarka Sengupta

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Landing page: https://doi.org/10.7554/elife.98469.3.sa2

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Open access: Yes

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OA status: gold

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OA URL: https://doi.org/10.7554/elife.98469.3.sa2

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Concepts: Phenotype, Stratification (seeds), Transcriptome, Computer science, Computational biology, Artificial intelligence, Biology, Genetics, Gene, Gene expression, Germination, Seed dormancy, Botany, Dormancy

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Cited by: 0

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Related works (count): 10

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