Structural Similarity Assessment for Drug Sensitivity Prediction in Cancer

BMC Bioinformatics - United Kingdom
doi 10.1186/1471-2105-10-s9-s17
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Feature Selection Strategies for Drug Sensitivity Prediction

2019English

Inverse Similarity and Reliable Negative Samples for Drug Side-Effect Prediction

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2019English

Mining the Breast Cancer Proteome for Predictors of Drug Sensitivity

Journal of Proteomics & Bioinformatics
2015English

Assessment of Modelling Strategies for Drug Response Prediction in Cell Lines and Xenografts

Scientific Reports
Multidisciplinary
2020English

Speeding Up the Drug Discovery Process: Structural Similarity Searches Using Molecular Surfaces

EMBnet.journal
2012English

Molecular Similarity for Machine Learning in Drug Development

Chemistry Central Journal
Chemistry
2008English

Prostate Cancer Organoids: A Potential New Tool for Testing Drug Sensitivity

Expert Review of Anticancer Therapy
OncologyPharmacology
2015English

PARP Inhibitors in Ovarian Cancer: Sensitivity Prediction and Resistance Mechanisms

Journal of Cellular and Molecular Medicine
Molecular MedicineCell Biology
2019English

Large-Scale Structural and Textual Similarity-Based Mining of Knowledge Graph to Predict Drug-Drug Interactions

SSRN Electronic Journal
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy