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Communications Biology (2)

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Advanced filters: Author: Debojyoti Chowdhury Clear advanced filters

OncoMark: a high-throughput neural multi-task learning framework for comprehensive cancer hallmark quantification

Hallmark-based modeling of tumors using neural multi-task learning enables accurate, simultaneous quantification of all ten cancer hallmarks from transcriptomic data, offering insights into tumor biology and advancing precision oncology.

Shreyansh Priyadarshi
Camellia Mazumder
Shubhasis Haldar
ResearchOpen Access07 Oct 2025
Communications Biology

Volume: 8, P: 1-12
Pan-cancer analyses suggest kindlin-associated global mechanochemical alterations

Pan-cancer analysis of kindlin genes on patient genomic data reveals a distinct pattern of kindlin activity. Our analysis suggests kindlins as mechanochemical connector of major cancer hallmark pathways.

Debojyoti Chowdhury
Ayush Mistry
Shubhasis Haldar
ResearchOpen Access28 Mar 2024
Communications Biology

Volume: 7, P: 1-16

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OncoMark: a high-throughput neural multi-task learning framework for comprehensive cancer hallmark quantification

Pan-cancer analyses suggest kindlin-associated global mechanochemical alterations

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