DawnRank: discovering personalized driver genes in cancer.
about
Small cell lung cancer (SCLC): no treatment advances in recent yearsLNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.Sparse expression bases in cancer reveal tumor drivers.XomAnnotate: Analysis of Heterogeneous and Complex Exome- A Step towards Translational Medicine.Cross-species DNA copy number analyses identifies multiple 1q21-q23 subtype-specific driver genes for breast cancerPersonalized targeted therapy for esophageal squamous cell carcinoma.Cancer as a mitochondrial metabolic disease.The use of gene interaction networks to improve the identification of cancer driver genes.DriverDBv2: a database for human cancer driver gene research.Integrative bioinformatic analyses of an oncogenomic profile reveal the biology of endometrial cancer and guide drug discovery.Characterizing gene sets using discriminative random walks with restart on heterogeneous biological networks.Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomesiCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes.NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.Impacts of somatic mutations on gene expression: an association perspective.Characterization of potential driver mutations involved in human breast cancer by computational approaches.A new correlation clustering method for cancer mutation analysis.Integrating omics data and protein interaction networks to prioritize driver genes in cancer.Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis.Identification of cancer genes that are independent of dominant proliferation and lineage programs.Pathways of topological rank analysis (PoTRA): a novel method to detect pathways involved in hepatocellular carcinoma.Integrated RNA and DNA sequencing reveals early drivers of metastatic breast cancer.ENTPRISE-X: Predicting disease-associated frameshift and nonsense mutations.Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network.The chromosome 11q13.3 amplification associated lymph node metastasis is driven by miR-548k through modulating tumor microenvironment
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DawnRank: discovering personalized driver genes in cancer.
description
2014 nî lūn-bûn
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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2014年论文
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2014年论文
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name
DawnRank: discovering personalized driver genes in cancer.
@en
DawnRank: discovering personalized driver genes in cancer.
@nl
type
label
DawnRank: discovering personalized driver genes in cancer.
@en
DawnRank: discovering personalized driver genes in cancer.
@nl
prefLabel
DawnRank: discovering personalized driver genes in cancer.
@en
DawnRank: discovering personalized driver genes in cancer.
@nl
P2860
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DawnRank: discovering personalized driver genes in cancer
@en
P2093
Jack P Hou
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P356
10.1186/S13073-014-0056-8
P50
P577
2014-07-31T00:00:00Z
P6179
1046093203