Gene mutation contingency table.

<div><p>Individualized prediction of cancer drug sensitivity is of vital importance in precision medicine. While numerous predictive methodologies for cancer drug response have been proposed, the precise prediction of an individual patient’s response to drug and a thorough understanding...

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Bibliographic Details
Main Author:	Yang Wu (66682) (author)
Other Authors:	Ming Chen (115604) (author), Yufang Qin (707867) (author)
Published:	2025
Subjects:	Biochemistry Genetics Pharmacology Biotechnology Cancer Biological Sciences not elsewhere classified Information Systems not elsewhere classified scale convolutional networks pose significant challenges outside biological pathways numerous predictive methodologies learning complex interactions cancer genome atlas pathway difference values use statistical methods individual patient ’ cell line features individualized cancer treatment integrated transformer encoder div >< p anticancer drugs comparing based difference features methods proposed recently cancer drug response drug response predictions cancer drug sensitivity transformer encoder anticancer drugs omics features drug ’ drug response omics pathway individualized prediction final predictions cell lines drug molecules vital importance thorough understanding study introduced smiles representations robust support precision medicine precise prediction particularly sensitive omics data multilayer perceptron github (< gene mutation gene expression freely available different perspectives chemical structure attention network attention mechanisms also validated
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Gene mutation contingency table.

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