Collections of simultaneously altered genes as biomarkers of cancer cell drug response
about
Using drug response data to identify molecular effectors, and molecular "omic" data to identify candidate drugs in cancerA community effort to assess and improve drug sensitivity prediction algorithms.Human bile contains microRNA-laden extracellular vesicles that can be used for cholangiocarcinoma diagnosis.A combination of molecular markers and clinical features improve the classification of pancreatic cysts.Data integration to prioritize drugs using genomics and curated data.A p-Median approach for predicting drug response in tumour cells.Computational systems biology approaches to anti-angiogenic cancer therapeutics.GTSE1 expression represses apoptotic signaling and confers cisplatin resistance in gastric cancer cells.Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.Genomic alterations in head and neck squamous cell carcinoma determined by cancer gene-targeted sequencing.Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines.CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.Identifying anti-cancer drug response related genes using an integrative analysis of transcriptomic and genomic variations with cell line-based drug perturbationsLogic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy.Mutations in regulators of the epigenome and their connections to global chromatin patterns in cancer.Pharmacological activation of wild-type p53 in the therapy of leukemia.Multitask learning improves prediction of cancer drug sensitivity.A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts.Statistical interactions and Bayes estimation of log odds in case-control studies.Global view of a drug-sensitivity gene network.
P2860
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P2860
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@ast
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@en
type
label
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@ast
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@en
prefLabel
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@ast
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@en
P2860
P1433
P1476
Collections of simultaneously altered genes as biomarkers of cancer cell drug response
@en
P2093
David L Masica
Rachel Karchin
P2860
P304
P356
10.1158/0008-5472.CAN-12-3122
P407
P577
2013-01-21T00:00:00Z