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Predicting Targeted Cancer Therapeutics
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-31957-5_4openalex-snapshot
Multitask Matrix Completion for Learning Protein Interactions Across Diseases
inferredcites →https://doi.org/10.1016/j.cell.2011.02.013openalex-snapshot
Hallmarks of Cancer: The Next Generation
inferredcites →https://doi.org/10.1021/ci025620topenalex-snapshot
Active Learning with Support Vector Machines in the Drug Discovery Process
inferredcites →https://doi.org/10.1021/ci400219zopenalex-snapshot
Predicting Drug–Target Interactions Using Probabilistic Matrix Factorization
inferredcites →https://doi.org/10.1038/nature12213openalex-snapshot
Mutational heterogeneity in cancer and the search for new cancer-associated genes
inferredcites →https://doi.org/10.1038/nature12624openalex-snapshot
Tumour heterogeneity and cancer cell plasticity
inferredcites →https://doi.org/10.1038/ncomms7169openalex-snapshot
Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity
inferredcites →https://doi.org/10.1038/ng.2764openalex-snapshot
The Cancer Genome Atlas Pan-Cancer analysis project
inferredcites →https://doi.org/10.1038/nrc3599openalex-snapshot
Cancer drug resistance: an evolving paradigm
inferredcites →https://doi.org/10.1038/nrc4015openalex-snapshot
Precision medicine for cancer with next-generation functional diagnostics
inferredcites →https://doi.org/10.1038/nrclinonc.2011.34openalex-snapshot
High drug attrition rates—where are we going wrong?
inferredcites →https://doi.org/10.1038/nrd3368openalex-snapshot
Impact of high-throughput screening in biomedical research
inferredcites →https://doi.org/10.1038/nrd3681openalex-snapshot
Diagnosing the decline in pharmaceutical R&D efficiency
inferredcites →https://doi.org/10.1038/nrd4366openalex-snapshot
Phenotypic screening in cancer drug discovery — past, present and future
inferredcites →https://doi.org/10.1093/bioinformatics/btn162openalex-snapshot
Prediction of drug–target interaction networks from the integration of chemical and genomic spaces
inferredcites →https://doi.org/10.1093/bioinformatics/btp433openalex-snapshot
Supervised prediction of drug–target interactions using bipartite local models
inferredcites →https://doi.org/10.1093/bioinformatics/btq176openalex-snapshot
Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
inferredcites →https://doi.org/10.1093/bioinformatics/btr500openalex-snapshot
Gaussian interaction profile kernels for predicting drug–target interaction
inferredcites →https://doi.org/10.1093/bioinformatics/bts360openalex-snapshot
Predicting drug–target interactions from chemical and genomic kernels using Bayesian matrix factorization
inferredcites →https://doi.org/10.1093/bioinformatics/btu599openalex-snapshot
BalestraWeb: efficient online evaluation of drug–target interactions
inferredcites →https://doi.org/10.1093/jnci/djm135openalex-snapshot
Drug Resistance and the Solid Tumor Microenvironment
inferredcites →https://doi.org/10.1093/nar/gkr1011openalex-snapshot
STITCH 3: zooming in on protein-chemical interactions
inferredcites →https://doi.org/10.1093/nar/gkt1207openalex-snapshot
STITCH 4: integration of protein–chemical interactions with user data
inferredcites →https://doi.org/10.1109/tpami.2014.2313125openalex-snapshot
Kernelized Bayesian Matrix Factorization
inferredcites →https://doi.org/10.1126/scitranslmed.3010564openalex-snapshot
An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumors
inferredcites →https://doi.org/10.1126/scitranslmed.aaa7489openalex-snapshot
A technology platform to assess multiple cancer agents simultaneously within a patient’s tumor
inferredcites →https://doi.org/10.1126/scitranslmed.aab1201openalex-snapshot
Developing predictive assays: The phenotypic screening “rule of 3”
inferredcites →https://doi.org/10.1126/scitranslmed.aab1214openalex-snapshot
Drug testing in the patient: Toward personalized cancer treatment
inferredcites →https://doi.org/10.1137/1.9781611972801.19openalex-snapshot
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
inferredcites →https://doi.org/10.1145/1273496.1273596openalex-snapshot
Restricted Boltzmann machines for collaborative filtering
inferredcites →https://doi.org/10.1145/2009916.2010002openalex-snapshot
Fast context-aware recommendations with factorization machines
inferredcites →https://doi.org/10.1145/2347736.2347755openalex-snapshot
A few useful things to know about machine learning
inferredcites →https://doi.org/10.17615/670y-yr53openalex-snapshot
The cancer genome atlas pan-cancer analysis project
inferredcites →https://doi.org/10.3791/2846openalex-snapshot
Method for Novel Anti-Cancer Drug Development using Tumor Explants of Surgical Specimens
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