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A novel network controllability algorithm to target personalized driver genes for discovering combinational drugs of individual cancer patient
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A novel bayesian graphical model for genome‐wide multi‐SNP association mapping
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Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.
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An exact algorithm for selecting partial scan flip-flops
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Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks
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Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles
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Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model
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Estimating Sample-Specific Regulatory Networks
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Dynamics and control at feedback vertex sets. II: A faithful monitor to determine the diversity of molecular activities in regulatory networks
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Personalized medicine: Time for one-person trials
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Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
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Controllability of complex networks
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Mutational heterogeneity in cancer and the search for new cancer-associated genes
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Universal resilience patterns in complex networks
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Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactions
inferredcites →https://doi.org/10.1038/ncomms6415openalex-snapshot
Target control of complex networks
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A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer
inferredcites →https://doi.org/10.1038/nrc2013openalex-snapshot
Cancer as an evolutionary and ecological process
inferredcites →https://doi.org/10.1038/nrd2683openalex-snapshot
Mechanisms of drug combinations: interaction and network perspectives
inferredcites →https://doi.org/10.1038/nrd2907openalex-snapshot
Cell cycle kinases as therapeutic targets for cancer
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Epistasis — the essential role of gene interactions in the structure and evolution of genetic systems
inferredcites →https://doi.org/10.1038/s41467-019-09186-xopenalex-snapshot
Network-based prediction of drug combinations
inferredcites →https://doi.org/10.1038/s41467-019-10215-yopenalex-snapshot
Optimal control nodes in disease-perturbed networks as targets for combination therapy
inferredcites →https://doi.org/10.1038/sj.embor.7400284openalex-snapshot
Reductionism and complexity in molecular biology
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Human prolactin (hPRL) antagonists inhibit hPRL-activated signaling pathways involved in breast cancer cell proliferation
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Transittability of complex networks and its applications to regulatory biomolecular networks
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Introduction to the Theory of Complexity
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Structure-based control of complex networks with nonlinear dynamics
inferredcites →https://doi.org/10.1088/1367-2630/14/7/073005openalex-snapshot
Dominating scale-free networks with variable scaling exponent: heterogeneous networks are not difficult to control
inferredcites →https://doi.org/10.1088/1742-5468/aa6de6openalex-snapshot
Constrained target controllability of complex networks
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Treatment of Human Breast Cancer in a Brain Metastatic Model by G207, a Replication-Competent Multimutated Herpes Simplex Virus 1
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Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene–gene interactions
inferredcites →https://doi.org/10.1093/bioinformatics/btl633openalex-snapshot
Enrichment or depletion of a GO category within a class of genes: which test?
inferredcites →https://doi.org/10.1093/bioinformatics/btp622openalex-snapshot
Predictive rule inference for epistatic interaction detection in genome-wide association studies
inferredcites →https://doi.org/10.1093/bioinformatics/btr114openalex-snapshot
GBOOST: a GPU-based tool for detecting gene–gene interactions in genome–wide case control studies
inferredcites →https://doi.org/10.1093/bioinformatics/btu046openalex-snapshot
Combinatorial therapy discovery using mixed integer linear programming
inferredcites →https://doi.org/10.1093/bioinformatics/btu278openalex-snapshot
DrugComboRanker: drug combination discovery based on target network analysis
inferredcites →https://doi.org/10.1093/bioinformatics/btw509openalex-snapshot
Predicting synergistic effects between compounds through their structural similarity and effects on transcriptomes
inferredcites →https://doi.org/10.1093/bioinformatics/btx806openalex-snapshot
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
inferredcites →https://doi.org/10.1093/bioinformatics/bty005openalex-snapshot
A network approach to exploring the functional basis of gene–gene epistatic interactions in disease susceptibility
inferredcites →https://doi.org/10.1093/bioinformatics/bty006openalex-snapshot
Discovering personalized driver mutation profiles of single samples in cancer by network control strategy
inferredcites →https://doi.org/10.1093/database/bau124openalex-snapshot
DCDB 2.0: a major update of the drug combination database
inferredcites →https://doi.org/10.1093/jmcb/mjv025openalex-snapshot
Diagnosing phenotypes of single-sample individuals by edge biomarkers
inferredcites →https://doi.org/10.1093/jnci/86.7.527openalex-snapshot
Endometrial Cancer in Tamoxifen-Treated Breast Cancer Patients: Findings From the National Surgical Adjuvant Breast and Bowel Project (NSABP) B-14 *
inferredcites →https://doi.org/10.1093/jnci/91.16.1376openalex-snapshot
Detection of Epstein-Barr Virus in Invasive Breast Cancers
inferredcites →https://doi.org/10.1093/nar/gkn653openalex-snapshot
PID: The Pathway Interaction Database
inferredcites →https://doi.org/10.1093/nar/gkq1018openalex-snapshot
Reactome: a database of reactions, pathways and biological processes
inferredcites →https://doi.org/10.1093/nar/gkr988openalex-snapshot
KEGG for integration and interpretation of large-scale molecular data sets
inferredcites →https://doi.org/10.1093/nar/gks743openalex-snapshot
Functional impact bias reveals cancer drivers
inferredcites →https://doi.org/10.1093/nar/gkt1068openalex-snapshot
DrugBank 4.0: shedding new light on drug metabolism
inferredcites →https://doi.org/10.1093/nar/gku1393openalex-snapshot
Patient-specific driver gene prediction and risk assessment through integrated network analysis of cancer omics profiles
inferredcites →https://doi.org/10.1093/nar/gku412openalex-snapshot
DiseaseConnect: a comprehensive web server for mechanism-based disease–disease connections
inferredcites →https://doi.org/10.1093/nar/gkv1165openalex-snapshot
DGIdb 2.0: mining clinically relevant drug–gene interactions
inferredcites →https://doi.org/10.1093/nar/gkv1230openalex-snapshot
Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information
inferredcites →https://doi.org/10.1093/nar/gkw772openalex-snapshot
Personalized characterization of diseases using sample-specific networks
inferredcites →https://doi.org/10.1093/nar/gkx1037openalex-snapshot
DrugBank 5.0: a major update to the DrugBank database for 2018
inferredcites →https://doi.org/10.1093/nar/gkz096openalex-snapshot
DriverML: a machine learning algorithm for identifying driver genes in cancer sequencing studies
inferredcites →https://doi.org/10.1093/nar/gkz172openalex-snapshot
Cell-specific network constructed by single-cell RNA sequencing data
inferredcites →https://doi.org/10.1096/fj.07-101279openalex-snapshot
Choline metabolism and risk of breast cancer in a population‐based study
inferredcites →https://doi.org/10.1101/503565openalex-snapshot
A novel structure-based control method for analyzing nonlinear dynamics in biological networks
inferredcites →https://doi.org/10.1101/gr.125567.111openalex-snapshot
Mutual exclusivity analysis identifies oncogenic network modules
inferredcites →https://doi.org/10.1111/bph.13895openalex-snapshot
Drug repurposing screens and synergistic drug‐combinations for infectious diseases
inferredcites →https://doi.org/10.1111/j.1467-789x.2004.00142.xopenalex-snapshot
Obesity, adipocytokines, and insulin resistance in breast cancer
inferredcites →https://doi.org/10.1126/science.1065103openalex-snapshot
Specificity and Stability in Topology of Protein Networks
inferredcites →https://doi.org/10.1126/science.1158140openalex-snapshot
Drug Target Identification Using Side-Effect Similarity
inferredcites →https://doi.org/10.1126/science.1242063openalex-snapshot
Control Profiles of Complex Networks
inferredcites →https://doi.org/10.1126/scisignal.2001699openalex-snapshot
A Directed Protein Interaction Network for Investigating Intracellular Signal Transduction
inferredcites →https://doi.org/10.1126/scitranslmed.3006667openalex-snapshot
High-Throughput Methods for Combinatorial Drug Discovery
inferredcites →https://doi.org/10.11501/3179364openalex-snapshot
Expression of survivin and its relationship to loss of apoptosis in breast carcinomas
inferredcites →https://doi.org/10.1158/0008-5472.can-10-1993openalex-snapshot
Activation of Toll-like Receptor 5 on Breast Cancer Cells by Flagellin Suppresses Cell Proliferation and Tumor Growth
inferredcites →https://doi.org/10.1186/1756-0500-3-117openalex-snapshot
AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm
inferredcites →https://doi.org/10.1186/gb-2010-11-5-r53openalex-snapshot
A human functional protein interaction network and its application to cancer data analysis
inferredcites →https://doi.org/10.1186/gb-2012-13-12-r124openalex-snapshot
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
inferredcites →https://doi.org/10.1186/s12864-017-4332-zopenalex-snapshot
A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification
inferredcites →https://doi.org/10.1186/s12918-016-0326-8openalex-snapshot
Drug combinatorics and side effect estimation on the signed human drug-target network
inferredcites →https://doi.org/10.1186/s12967-015-0546-5openalex-snapshot
Unravelling personalized dysfunctional gene network of complex diseases based on differential network model
inferredcites →https://doi.org/10.1186/s13059-018-1612-0openalex-snapshot
The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens
inferredcites →https://doi.org/10.1186/s13073-014-0056-8openalex-snapshot
DawnRank: discovering personalized driver genes in cancer
inferredcites →https://doi.org/10.1186/s13073-018-0608-4openalex-snapshot
An integrative approach for building personalized gene regulatory networks for precision medicine
inferredcites →https://doi.org/10.1186/s13742-015-0047-8openalex-snapshot
Second-generation PLINK: rising to the challenge of larger and richer datasets
inferredcites →https://doi.org/10.1287/moor.8.4.538openalex-snapshot
Integer Programming with a Fixed Number of Variables
inferredcites →https://doi.org/10.1371/journal.pcbi.1003460openalex-snapshot
VarWalker: Personalized Mutation Network Analysis of Putative Cancer Genes from Next-Generation Sequencing Data
inferredcites →https://doi.org/10.1371/journal.pcbi.1007520openalex-snapshot
A novel network control model for identifying personalized driver genes in cancer
inferredcites →https://doi.org/10.1371/journal.pone.0074250openalex-snapshot
SurvExpress: An Online Biomarker Validation Tool and Database for Cancer Gene Expression Data Using Survival Analysis
inferredcites →https://doi.org/10.1371/journal.pone.0106397openalex-snapshot
RTCGAToolbox: A New Tool for Exporting TCGA Firehose Data
inferredcites →https://doi.org/10.2307/2583737openalex-snapshot
Integer and Combinatorial Optimization
inferredcites →https://doi.org/10.2307/2584070openalex-snapshot
Introduction to the Theory of Complexity.
inferredcites →https://doi.org/10.3389/fphar.2015.00205openalex-snapshot
Multi-target pharmacology: possibilities and limitations of the “skeleton key approach” from a medicinal chemist perspective
inferredcites →https://doi.org/10.3390/molecules23040736openalex-snapshot
Facilitating Anti-Cancer Combinatorial Drug Discovery by Targeting Epistatic Disease Genes
inferredcites →https://doi.org/10.4155/fmc.12.44openalex-snapshot
Network Pharmacology for Cancer Drug Discovery: Are We There Yet?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1093/bib/bbz089openalex-snapshot
Network control principles for identifying personalized driver genes in cancer
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