Article

Pathway-guided deep neural network toward interpretable and predictive modeling of drug sensitivity

2020-02-07

Abstract excerpt

<h4>Motivation</h4> To efficiently save cost and reduce risk in drug research and development, there is a pressing demand to develop in-silico methods to predict drug sensitivity to cancer cells. With the exponentially increasing number of multi-omics data derived from high-throughput techniques, machine learning-based methods have been applied to the prediction of drug sensitivities. However, these methods have...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ee5acb09-7b81-59c4-aceb-f4f362f3bf07
DOI: 10.1101/2020.02.06.930503

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Pathway-guided deep neural network toward interpretable and predictive modeling of drug sensitivityDOI 10.1101/2020.02.06.930503Read

Explainable drug sensitivity prediction through cancer pathway enrichment.Semantic proximity Read

Deep Learning Can Identify Explainable Reasoning Paths of Mechanism of Drug Action for Drug Repurposing from Multilayer Biological NetworkSemantic proximity Read

BDKANN - Biological Domain Knowledge-based Artificial Neural Network for drug response predictionSemantic proximity Read

PathHDNN: a pathway hierarchical-informed deep neural network framework for predicting immunotherapy response and mechanism interpretation.Semantic proximity Read

TranSynergy: Mechanism-Driven Interpretable Deep Neural Network for the Synergistic Prediction and Pathway Deconvolution of Drug CombinationsSemantic proximity Read

PathExpSurv: Pathway Expansion for Explainable Survival Analysis and Disease Gene DiscoverySemantic proximity Read

Knowledge-guided deep learning models of drug toxicity improve interpretationSemantic proximity Read

BioXNet: a biologically inspired neural network for deciphering anti-cancer drug response in precision medicineSemantic proximity Read

Pan-Cancer Drug Sensitivity Prediction from Gene Expression using Deep LearningSemantic proximity Read

Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural NetworkSemantic proximity Read

Discovering the mechanism of action of drugs with a sparse explainable network.Semantic proximity Read

A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical SamplesSemantic proximity Read