Modeling cancer drug response through drug-specific informative genes

• Published in: Scientific reports Vol. 9; no. 1; pp. 15222 - 11
• Main Authors: Parca, Luca, Pepe, Gerardo, Pietrosanto, Marco, Galvan, Giulio, Galli, Leonardo, Palmeri, Antonio, Sciandrone, Marco, Ferrè, Fabrizio, Ausiello, Gabriele, Helmer-Citterich, Manuela
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.10.2019; Nature Publishing Group
• Subjects: 45/43; 631/114/1305; 631/67/69; Antineoplastic Agents - pharmacology; Antineoplastic Agents - therapeutic use; Cancer; Cell Line, Tumor; Dose-Response Relationship, Drug; Gene expression; Gene Expression Regulation, Neoplastic - drug effects; Genome, Human - drug effects; Genomes; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; Models, Biological; multidisciplinary; Neoplasms - drug therapy; Neoplasms - genetics; Pharmacogenetics; Pharmacogenomics; Prediction models; Science; Science (multidisciplinary); Transcriptome - drug effects; Tumor cell lines

Recent advances in pharmacogenomics have generated a wealth of data of different types whose analysis have helped in the identification of signatures of different cellular sensitivity/resistance responses to hundreds of chemical compounds. Among the different data types, gene expression has proven t...