Mining gene expression profiles: expression signatures as cancer phenotypes.
about
An integrated approach to the prediction of chemotherapeutic response in patients with breast cancerHuman genetics and genomics a decade after the release of the draft sequence of the human genomeIntegrative genomic and proteomic analyses identify targets for Lkb1-deficient metastatic lung tumorsmultiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome ProfilesEndometrial receptivity array: Clinical applicationOnline resources of cancer data: barriers, benefits and lessonsTilting at quixotic trait loci (QTL): an evolutionary perspective on genetic causationUtilization of genomic signatures to identify phenotype-specific drugsmiRNA-mRNA integrated analysis reveals roles for miRNAs in primary breast tumorsEndogenous human microRNAs that suppress breast cancer metastasisTranscriptional data: a new gateway to drug repositioning?Challenges of incorporating gene expression data to predict HCC prognosis in the age of systems biologyHLA typing from RNA-seq data using hierarchical read weighting [corrected].Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.BRCA1: a novel prognostic factor in resected non-small-cell lung cancerGene expression signatures of radiation response are specific, durable and accurate in mice and humans.The genomic analysis of lactic acidosis and acidosis response in human cancersGene set-based module discovery in the breast cancer transcriptome.Molecular phenotypes distinguish patients with relatively stable from progressive idiopathic pulmonary fibrosis (IPF).Minimization of biosynthetic costs in adaptive gene expression responses of yeast to environmental changesCross-platform expression microarray performance in a mouse model of mitochondrial disease therapy.Latent factor analysis to discover pathway-associated putative segmental aneuploidies in human cancers.Dysregulated miR-183 inhibits migration in breast cancer cells.Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modulesProtein-protein interaction reveals synergistic discrimination of cancer phenotypeCAERUS: predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data.Integrating Epigenomics into Pharmacogenomic StudiesIn silico models of cancerDigital multiplexed gene expression analysis using the NanoString nCounter system.Identification of microRNAs inhibiting TGF-β-induced IL-11 production in bone metastatic breast cancer cells.Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level.Molecular basis of metastasis.Metabolic imaging: a link between lactate dehydrogenase A, lactate, and tumor phenotype.Gene expression profiling for survival prediction in pediatric rhabdomyosarcomas: a report from the children's oncology group.Biomolecular events in cancer revealed by attractor metagenes.Using a stem cell-based signature to guide therapeutic selection in cancer.The role of gene expression in ecological speciationIdentification of upstream regulators for prognostic expression signature genes in colorectal cancer.Our changing view of the genomic landscape of cancer.Rab25 increases cellular ATP and glycogen stores protecting cancer cells from bioenergetic stress.
P2860
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P2860
Mining gene expression profiles: expression signatures as cancer phenotypes.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Mining gene expression profiles: expression signatures as cancer phenotypes.
@en
type
label
Mining gene expression profiles: expression signatures as cancer phenotypes.
@en
prefLabel
Mining gene expression profiles: expression signatures as cancer phenotypes.
@en
P356
P1476
Mining gene expression profiles: expression signatures as cancer phenotypes.
@en
P2093
Anil Potti
Joseph R Nevins
P2888
P304
P356
10.1038/NRG2137
P577
2007-07-03T00:00:00Z
P5875
P6179
1030296429