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Identifying Drug Sensitivity Subnetworks with NETPHLIX
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Using MEMo to Discover Mutual Exclusivity Modules in Cancer
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An Efficient Branch and Cut Algorithm to Find Frequently Mutated Subnetworks in Cancer
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On imposing connectivity constraints in integer programs
inferredcites →https://doi.org/10.1007/s12532-016-0111-0openalex-snapshot
Thinning out Steiner trees: a node-based model for uniform edge costs
inferredcites →https://doi.org/10.1016/j.cell.2011.02.013openalex-snapshot
Hallmarks of Cancer: The Next Generation
inferredcites →https://doi.org/10.1016/j.cell.2013.03.002openalex-snapshot
Lessons from the Cancer Genome
inferredcites →https://doi.org/10.1016/j.celrep.2014.02.045openalex-snapshot
Intrinsic Resistance to MEK Inhibition in KRAS Mutant Lung and Colon Cancer through Transcriptional Induction of ERBB3
inferredcites →https://doi.org/10.1016/j.cels.2017.09.003openalex-snapshot
Network-Based Coverage of Mutational Profiles Reveals Cancer Genes
inferredcites →https://doi.org/10.1016/j.ctrv.2014.07.004openalex-snapshot
Can we unlock the potential of IGF-1R inhibition in cancer therapy?
inferredcites →https://doi.org/10.1016/j.ejca.2017.06.033openalex-snapshot
P53 and MITF/Bcl-2 identified as key pathways in the acquired resistance of NRAS-mutant melanoma to MEK inhibition
inferredcites →https://doi.org/10.1016/j.gde.2013.10.003openalex-snapshot
Genotype to phenotype via network analysis
inferredcites →https://doi.org/10.1038/msb4100180openalex-snapshot
Network‐based classification of breast cancer metastasis
inferredcites →https://doi.org/10.1038/nature11003openalex-snapshot
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
inferredcites →https://doi.org/10.1038/nature15736openalex-snapshot
Pharmacogenomic agreement between two cancer cell line data sets
inferredcites →https://doi.org/10.1038/nbt.3527openalex-snapshot
Characterizing genomic alterations in cancer by complementary functional associations
inferredcites →https://doi.org/10.1038/nmeth.2651openalex-snapshot
Network-based stratification of tumor mutations
inferredcites →https://doi.org/10.1038/nn.3261openalex-snapshot
Diverse types of genetic variation converge on functional gene networks involved in schizophrenia
inferredcites →https://doi.org/10.1038/sj.bjc.6604783openalex-snapshot
KRAS or BRAF mutation status is a useful predictor of sensitivity to MEK inhibition in ovarian cancer
inferredcites →https://doi.org/10.1038/srep36812openalex-snapshot
Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy
inferredcites →https://doi.org/10.1093/bioinformatics/btn081openalex-snapshot
Network-constrained regularization and variable selection for analysis of genomic data
inferredcites →https://doi.org/10.1093/bioinformatics/btq615openalex-snapshot
dmGWAS: dense module searching for genome-wide association studies in protein–protein interaction networks
inferredcites →https://doi.org/10.1093/bioinformatics/btt238openalex-snapshot
Efficient network-guided multi-locus association mapping with graph cuts
inferredcites →https://doi.org/10.1093/bioinformatics/btv247openalex-snapshot
MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types
inferredcites →https://doi.org/10.1093/bioinformatics/btv400openalex-snapshot
TiMEx: a waiting time model for mutually exclusive cancer alterations
inferredcites →https://doi.org/10.1093/bioinformatics/btw242openalex-snapshot
WeSME: uncovering mutual exclusivity of cancer drivers and beyond
inferredcites →https://doi.org/10.1093/bioinformatics/btx004openalex-snapshot
SigMod: an exact and efficient method to identify a strongly interconnected disease-associated module in a gene network
inferredcites →https://doi.org/10.1093/bioinformatics/bty247openalex-snapshot
Classifying tumors by supervised network propagation
inferredcites →https://doi.org/10.1093/nar/gks1111openalex-snapshot
Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells
inferredcites →https://doi.org/10.1126/scisignal.2004815openalex-snapshot
BRAF Inhibitors Induce Metastasis in RAS Mutant or Inhibitor-Resistant Melanoma Cells by Reactivating MEK and ERK Signaling
inferredcites →https://doi.org/10.1142/9789814295291_0016openalex-snapshot
IDENTIFICATION OF COORDINATELY DYSREGULATED SUBNETWORKS IN COMPLEX PHENOTYPES
inferredcites →https://doi.org/10.1142/9789814366496_0006openalex-snapshot
DISCOVERY OF MUTATED SUBNETWORKS ASSOCIATED WITH CLINICAL DATA IN CANCER
inferredcites →https://doi.org/10.1142/9789814447973_0014openalex-snapshot
MODULE COVER – A NEW APPROACH TO GENOTYPE-PHENOTYPE STUDIES
inferredcites →https://doi.org/10.1155/2017/4680732openalex-snapshot
The Role of CYP2E1 in the Drug Metabolism or Bioactivation in the Brain
inferredcites →https://doi.org/10.1158/0008-5472.can-10-2430openalex-snapshot
The Dual EGFR/HER2 Inhibitor Lapatinib Synergistically Enhances the Antitumor Activity of the Histone Deacetylase Inhibitor Panobinostat in Colorectal Cancer Models
inferredcites →https://doi.org/10.1158/0008-5472.sabcs11-p1-12-20openalex-snapshot
P1-12-20: The Safety and Tolerability of Vorinostat in Combination with Lapatinib in Advanced Solid Tumors.
inferredcites →https://doi.org/10.1158/1078-0432.ccr-17-3438openalex-snapshot
Assessing Therapeutic Efficacy of MEK Inhibition in a KRASG12C-Driven Mouse Model of Lung Cancer
inferredcites →https://doi.org/10.1158/1535-7163.mct-14-0794-topenalex-snapshot
IRS2 Copy Number Gain, KRAS and BRAF Mutation Status as Predictive Biomarkers for Response to the IGF-1R/IR Inhibitor BMS-754807 in Colorectal Cancer Cell Lines
inferredcites →https://doi.org/10.1158/1541-7786.mcr-14-0006openalex-snapshot
PTEN Deficiency Mediates a Reciprocal Response to IGFI and mTOR Inhibition
inferredcites →https://doi.org/10.1158/2159-8290.cd-12-0446openalex-snapshot
Coordinate Direct Input of Both KRAS and IGF1 Receptor to Activation of PI3 kinase in KRAS -Mutant Lung Cancer
inferredcites →https://doi.org/10.1158/2159-8290.cd-15-0235openalex-snapshot
Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset
inferredcites →https://doi.org/10.1186/s13059-015-0700-7openalex-snapshot
CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer
inferredcites →https://doi.org/10.1371/journal.pcbi.1001095openalex-snapshot
Identifying Causal Genes and Dysregulated Pathways in Complex Diseases
inferredcites →https://doi.org/10.1371/journal.pcbi.1004747openalex-snapshot
Understanding Genotype-Phenotype Effects in Cancer via Network Approaches
inferredcites →https://doi.org/10.1371/journal.pcbi.1005695openalex-snapshot
BeWith: A Between-Within method to discover relationships between cancer modules via integrated analysis of mutual exclusivity, co-occurrence and functional interactions
inferredcites →https://doi.org/10.1371/journal.pcbi.1006802openalex-snapshot
Efficient algorithms to discover alterations with complementary functional association in cancer
inferredcites →https://doi.org/10.1371/journal.pone.0013367openalex-snapshot
DEGAS: De Novo Discovery of Dysregulated Pathways in Human Diseases
inferredcites →https://doi.org/10.2174/1389450114666140106100909openalex-snapshot
Therapeutic Targeting of Cancers with Loss of PTEN Function
inferredcites →https://doi.org/10.2217/fon.12.198openalex-snapshot
Selumetinib: A Promising Pharmacologic Approach for KRAS -Mutant Advanced Non-Small-Cell Lung Cancer
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1101/2020.11.17.385757openalex-snapshot
DrugOrchestra: Jointly predicting drug response, targets, and side effects via deep multi-task learning
inferred← citeshttps://doi.org/10.1101/568568openalex-snapshot
Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer
inferred← citeshttps://doi.org/10.1186/s13073-020-00745-2openalex-snapshot
Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer
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