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PheSeq: How Bayesian Deep Learning Conceptualizes the Gene-Disease Associations and Bridges ’em with P-values?

"This study introduces PheSeq, a Bayesian deep learning model designed to integrate p-value data from sequence analysis with phenotype descriptions from literature and network data. It improves the robustness and interpretability of gene-disease association studies."

Jingbo Xia

Jun 08, 2024

Scientific Data

Behind the Paper

Cancer-Alterome, how literature resources contribute to the refined interpretation of cancer pathology ?

"This study introduces Cancer-Alterome, a literature-mined dataset that focuses on the regulatory events of an organism’s biological processes or clinical phenotypes caused by genetic alterations. It empowers investigation of cancer pathology, enabling tracking of relevant literature support."

Jingbo Xia

Apr 17, 2024

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