Modeling cancer drug response through drug-specific informative genes
Published 2019 View Full Article
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Title
Modeling cancer drug response through drug-specific informative genes
Authors
Keywords
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Journal
Scientific Reports
Volume 9, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-10-23
DOI
10.1038/s41598-019-50720-0
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- (2018) Michael P. Menden et al. Nature Communications
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- (2018) Sunghwan Kim et al. NUCLEIC ACIDS RESEARCH
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- (2017) Liang Zhang et al. MEDICAL ONCOLOGY
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- (2017) Antonio Fabregat et al. NUCLEIC ACIDS RESEARCH
- Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set
- (2017) Eelke B. Lenselink et al. Journal of Cheminformatics
- TANDEM: a two-stage approach to maximize interpretability of drug response models based on multiple molecular data types
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- (2016) Han Yuan et al. Scientific Reports
- The CPTAC Data Portal: A Resource for Cancer Proteomics Research
- (2015) Nathan J. Edwards et al. JOURNAL OF PROTEOME RESEARCH
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- (2015) Naiqian Zhang et al. PLoS Computational Biology
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization
- (2014) Muhammad Ammad-ud-din et al. Journal of Chemical Information and Modeling
- Chronic inflammation and cancer: potential chemoprevention through nuclear factor kappa B and p53 mutual antagonism
- (2014) Srabani Pal et al. Journal of Inflammation-London
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- (2014) James C Costello et al. NATURE BIOTECHNOLOGY
- Cancer Pharmacogenomics: Early Promise, But Concerted Effort Needed
- (2013) H. L. McLeod SCIENCE
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- (2013) Gerard J. P. van Westen et al. PLoS Computational Biology
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- (2012) Jason A. Sprowl et al. DRUG RESISTANCE UPDATES
- Systematic identification of genomic markers of drug sensitivity in cancer cells
- (2012) Mathew J. Garnett et al. NATURE
- The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
- (2012) Jordi Barretina et al. NATURE
- Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells
- (2012) Wanjuan Yang et al. NUCLEIC ACIDS RESEARCH
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms
- (2011) Fran Supek et al. PLoS One
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- (2010) Alessio Nencioni et al. PLoS One
- Proteochemometric modeling as a tool to design selective compounds and for extrapolating to novel targets
- (2010) Gerard J. P. van Westen et al. MedChemComm
- GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
- (2009) Eran Eden et al. BMC BIOINFORMATICS
- ChemmineR: a compound mining framework for R
- (2008) Y. Cao et al. BIOINFORMATICS
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