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Zhong et al., 2025 - Google Patents

Benchmarking gene embeddings from sequence, expression, network, and text models for functional prediction tasks

Zhong et al., 2025

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Document ID
11116928939225111381
Author
Zhong J
Li L
Dannenfelser R
Yao V
Publication year
Publication venue
bioRxiv

External Links

Snippet

Gene embeddings have emerged as transformative tools in computational biology, enabling the efficient translation of complex biological datasets into compact vector representations. This study presents a comprehensive benchmark by evaluating 38 classic and state-of-the …
Continue reading at www.biorxiv.org (PDF) (other versions)

Classifications

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