Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression-Reference-Cited by-同舟云学术

Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression

Published:2017-07-12 Issue:14 Volume:33 Page:i359-i368
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Ammad-ud-din Muhammad¹²,Khan Suleiman A¹²,Wennerberg Krister¹,Aittokallio Tero¹²³

Affiliation:

1. Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland

2. Department of Computer Science, Helsinki Institute for Information Technology HIIT, Aalto University, Espoo, Finland

3. Department of Mathematics and Statistics, University of Turku, Turku, Finland

Funder

Academy of Finland

Cancer Society of Finland

Sigrid Jusélius Foundation

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/14/i359/25156810/btx266.pdf

Reference41 articles.

1. Integrative and personalized QSAR analysis in cancer by Kernelized Bayesian matrix factorization;Ammad-Ud Din;J. Chem. Inf. Model,2014

2. Drug response prediction by inferring pathway-response associations with Kernelized Bayesian matrix factorization;Ammad-Ud Din;Bioinformatics,2016

3. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

4. An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules;Basu;Cell,2013

5. Stan: a probabilistic programming language;Carpenter;J. Stat. Software,2017

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DAPM-CDR: A domain adaptation prompting model for drug response prediction;Future Generation Computer Systems;2024-11

2. A hierarchical attention network integrating multi-scale relationship for drug response prediction;Information Fusion;2024-10

3. A gray box framework that optimizes a white box logical model using a black box optimizer for simulating cellular responses to perturbations;Cell Reports Methods;2024-05

4. Predicting drug activity against cancer through genomic profiles and SMILES;Artificial Intelligence in Medicine;2024-04

5. A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening;Cancers;2024-01-26