MutExSL
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer. Australia.
Description
More detailed information about this field from each metasource.
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer. Australia.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:32:23.960344
Webpage:
https://sites.google.com/site/mutexsl/Webpage
More detailed information about this field from each metasource.
https://sites.google.com/site/mutexsl/
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:32:23.960344
Publications:
Publications
More detailed information about this field from each metasource.
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer
PMID: 26427375
metasource: bio.tools
version: extracted_at: 2022-11-04T11:32:23.960344
Publications
More detailed information about this field from each metasource.
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer
PMID: 26427375
metasource: bio.tools
version: extracted_at: 2022-11-04T11:32:23.960344
-
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer
PubMed citations: 17.
17 articles citing: Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer
Functional buffering via cell-specific gene expression promotes tissue homeostasis and cancer robustness. PMID:35194081
Mapping the landscape of synthetic lethal interactions in liver cancer. PMID:34522226
Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality. PMID:34454516
Identifying collateral and synthetic lethal vulnerabilities within the DNA-damage response. PMID:33992077
Identification of common signatures in idiopathic pulmonary fibrosis and lung cancer using gene expression modeling. PMID:33046043
Analysis, identification and visualization of subgroups in genomics. PMID:32954413
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction. PMID:32184722
SL-BioDP: Multi-Cancer Interactive Tool for Prediction of Synthetic Lethality and Response to Cancer Treatment. PMID:31671773
Data mining for mutation-specific targets in acute myeloid leukemia. PMID:30728456
DiscoverSL: an R package for multi-omic data driven prediction of synthetic lethality in cancers. PMID:30059974
Synthetic Lethality-based Identification of Targets for Anticancer Drugs in the Human Signaling Network. PMID:29855504
Computational Approaches to Identify Genetic Interactions for Cancer Therapeutics. PMID:28941356
Differential requirements for Tousled-like kinases 1 and 2 in mammalian development. PMID:28708136
DUB3 and USP7 de-ubiquitinating enzymes control replication inhibitor Geminin: molecular characterization and associations with breast cancer. PMID:28288134
Synthetic lethality: emerging targets and opportunities in melanoma. PMID:28097822
Computational approaches for the identification of cancer genes and pathways. PMID:27863091
Ranking novel cancer driving synthetic lethal gene pairs using TCGA data. PMID:27438146
Tags:
biomedical science computational biology
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