A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients

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,...

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Detalles Bibliográficos
Autores principales: Joo, Minjae, Park, Aron, Kim, Kyungdoc, Son, Won-Joon, Lee, Hyo Sug, Lim, GyuTae, Lee, Jinhyuk, Lee, Dae Ho, An, Jungsuk, Kim, Jung Ho, Ahn, TaeJin, Nam, Seungyoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941066/
https://www.ncbi.nlm.nih.gov/pubmed/31842404
http://dx.doi.org/10.3390/ijms20246276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941066/
https://www.ncbi.nlm.nih.gov/pubmed/31842404
http://dx.doi.org/10.3390/ijms20246276

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