"AI-driven transcriptomic encoders: From explainable models to accurate, ..."

Danilo Croce et al. (2024)

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DOI: 10.1016/J.ESWA.2024.125126

access: closed

type: Journal Article

metadata version: 2024-10-22

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  - https://dblp.org/rec/journals/eswa/CroceSTTCCBGM24
Danilo Croce, Artem Smirnov, Luigi Tiburzi, Serena Travaglini, Roberta Costa, Armando Calabrese, Roberto Basili, Nathan Levialdi Ghiron, Gerry Melino:
AI-driven transcriptomic encoders: From explainable models to accurate, sample-independent cancer diagnostics. Expert Syst. Appl. 258: 125126 (2024)

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