Synthetic sickness or lethality points at candidate combination therapy targets in glioblastoma

Targeting Synthetic Lethality in DNA Damage Repair Pathways as an Anti-Cancer Strategy

(2012) Benjamin J. Moeller et al.   CURRENT DRUG TARGETS

Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs

(2011) T. Kam-Thong et al.   BIOINFORMATICS

Detecting epistatic effects in association studies at a genomic level based on an ensemble approach

(2011) J. Li et al.   BIOINFORMATICS

Learning genetic epistasis using Bayesian network scoring criteria

(2011) Xia Jiang et al.   BMC BIOINFORMATICS

Discovering functional modules by identifying recurrent and mutually exclusive mutational patterns in tumors

(2011) Christopher A Miller et al.   BMC Medical Genomics

Correlation of Somatic Mutation and Expression Identifies Genes Important in Human Glioblastoma Progression and Survival

(2011) D. L. Masica et al.   CANCER RESEARCH

Genetic Interactions in Cancer Progression and Treatment

(2011) Alan Ashworth et al.   CELL

De novo discovery of mutated driver pathways in cancer

(2011) F. Vandin et al.   GENOME RESEARCH

Mutual exclusivity analysis identifies oncogenic network modules

(2011) G. Ciriello et al.   GENOME RESEARCH

Algorithms for Detecting Significantly Mutated Pathways in Cancer

(2011) Fabio Vandin et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

Harnessing synthetic lethal interactions in anticancer drug discovery

(2011) Denise A. Chan et al.   NATURE REVIEWS DRUG DISCOVERY

Cardiotoxicity of kinase inhibitors: the prediction and translation of preclinical models to clinical outcomes

(2011) Thomas Force et al.   NATURE REVIEWS DRUG DISCOVERY

Identification of novel synergistic targets for rational drug combinations with PI3 kinase inhibitors using siRNA synthetic lethality screening against GBM

(2011) Y.-W. Kim et al.   NEURO-ONCOLOGY

The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportional hazards assumption is in doubt

(2011) Patrick Royston et al.   STATISTICS IN MEDICINE

DNA repair and synthetic lethality

(2011) Gong‐she Guo et al.   International Journal of Oral Science

Induction of in vivo synthetic lethal RNAi responses to treat glioblastoma

(2010) Hiroyuki Michiue et al.   CANCER BIOLOGY & THERAPY

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

A Genome-wide RNAi Screen Identifies Multiple Synthetic Lethal Interactions with the Ras Oncogene

(2009) Ji Luo et al.   CELL

Resistance to Targeted Therapies: Refining Anticancer Therapy in the Era of Molecular Oncology

(2009) L. M. Ellis et al.   CLINICAL CANCER RESEARCH

A panel of isogenic human cancer cells suggests a therapeutic approach for cancers with inactivated p53

(2009) S. Sur et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Systematic Mapping of Genetic Interaction Networks

(2008) Scott J. Dixon et al.   Annual Review of Genetics

Mining protein networks for synthetic genetic interactions

(2008) Sri R Paladugu et al.   BMC BIOINFORMATICS

Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions

(2008) Y. Qi et al.   GENOME RESEARCH

Somatic mutations affect key pathways in lung adenocarcinoma

(2008) Li Ding et al.   NATURE

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

(2008) Roger McLendon et al.   NATURE