A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Can...
A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs’ molecular “fingerprints”, along with mutation statuses, have not been considered. Here, we constructed a 1...
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A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6941066
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6941066
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ISSN
1422-0067,1661-6596
E-ISSN
1422-0067
DOI
10.3390/ijms20246276
