Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing
Thai-Hoang Pham, Yue Qiu, Jiahui Liu, Steven Zimmer, Eric O’Neill, Lei Xie, Ping Zhang
Abstract
chemicals are predicted. The experimental results show that CIGER significantly outperforms existing methods in both ranking and classification metrics. Furthermore, a drug screening pipeline based on CIGER is proposed to identify potential treatments of drug-resistant pancreatic cancer. Our predictions have been validated by experiments, thereby showing the effectiveness of CIGER for phenotypic compound screening of precision medicine.
Topics & Concepts
Drug repositioningRepurposingRanking (information retrieval)Gene expressionComputational biologyDrug discoveryComputer scienceDrugData miningPancreatic cancerPipeline (software)Expression (computer science)GeneBioinformaticsMachine learningBiologyCancerPharmacologyGeneticsProgramming languageEcologyGene expression and cancer classificationComputational Drug Discovery MethodsBioinformatics and Genomic Networks