Predicting synthetic lethal interactions using heterogeneous data sources
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Title
Predicting synthetic lethal interactions using heterogeneous data sources
Authors
Keywords
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Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2019-11-27
DOI
10.1093/bioinformatics/btz893
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- (2018) Madalina Giurgiu et al. NUCLEIC ACIDS RESEARCH
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- (2017) John Paul Shen et al. NATURE METHODS
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- (2017) Nigel J. O'Neil et al. NATURE REVIEWS GENETICS
- Precision Oncology: The Road Ahead
- (2017) Daniela Senft et al. TRENDS IN MOLECULAR MEDICINE
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- (2017) A. Tutt et al. JOURNAL OF CLINICAL ONCOLOGY
- A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy
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- TiMEx: a waiting time model for mutually exclusive cancer alterations
- (2015) Simona Constantinescu et al. BIOINFORMATICS
- PhyloGene server for identification and visualization of co-evolving proteins using normalized phylogenetic profiles
- (2015) Ilyas R. Sadreyev et al. NUCLEIC ACIDS RESEARCH
- SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets
- (2015) Jing Guo et al. NUCLEIC ACIDS RESEARCH
- Predicting Human Genetic Interactions from Cancer Genome Evolution
- (2015) Xiaowen Lu et al. PLoS One
- Inductive matrix completion for predicting gene-disease associations
- (2014) N. Natarajan et al. BIOINFORMATICS
- Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality
- (2014) Livnat Jerby-Arnon et al. CELL
- STRING v10: protein–protein interaction networks, integrated over the tree of life
- (2014) Damian Szklarczyk et al. NUCLEIC ACIDS RESEARCH
- A negative genetic interaction map in isogenic cancer cell lines reveals cancer cell vulnerabilities
- (2013) F. J. Vizeacoumar et al. Molecular Systems Biology
- The Cancer Genome Atlas Pan-Cancer analysis project
- (2013) John N Weinstein et al. NATURE GENETICS
- Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping
- (2013) Christina Laufer et al. NATURE METHODS
- Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
- (2013) J. Gao et al. Science Signaling
- Comprehensive molecular portraits of human breast tumours
- (2012) Daniel C. Koboldt et al. NATURE
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- Inborn and acquired metabolic defects in cancer
- (2011) Christian Frezza et al. JOURNAL OF MOLECULAR MEDICINE-JMM
- Predicting selective drug targets in cancer through metabolic networks
- (2011) O. Folger et al. Molecular Systems Biology
- Essential Gene Profiles in Breast, Pancreatic, and Ovarian Cancer Cells
- (2011) Richard Marcotte et al. Cancer Discovery
- Oral poly(ADP-ribose) polymerase inhibitor olaparib in patients with BRCA1 or BRCA2 mutations and recurrent ovarian cancer: a proof-of-concept trial
- (2010) M William Audeh et al. LANCET
- International network of cancer genome projects
- (2010) Thomas J. Hudson (Chairperson) et al. NATURE
- The Genetic Landscape of a Cell
- (2010) M. Costanzo et al. SCIENCE
- An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions
- (2010) Gaurav Pandey et al. PLoS Computational Biology
- Human synthetic lethal inference as potential anti-cancer target gene detection
- (2009) Nuria Conde-Pueyo et al. BMC Systems Biology
- Mining protein networks for synthetic genetic interactions
- (2008) Sri R Paladugu et al. BMC BIOINFORMATICS
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