about
Weighted change-point method for detecting differential gene expression in breast cancer microarray dataNIRF constitutes a nodal point in the cell cycle network and is a candidate tumor suppressorNIRF/UHRF2 occupies a central position in the cell cycle network and allows coupling with the epigenetic landscapeRecurrent rearrangements in prostate cancer: causes and therapeutic potentialOnline resources of cancer data: barriers, benefits and lessonsGTI: a novel algorithm for identifying outlier gene expression profiles from integrated microarray datasetsOutlier Analysis Defines Zinc Finger Gene Family DNA Methylation in Tumors and Saliva of Head and Neck Cancer Patients.Molecular signature of cancer at gene level or pathway level? Case studies of colorectal cancer and prostate cancer microarray data.ZODET: software for the identification, analysis and visualisation of outlier genes in microarray expression data.Integrative gene set analysis of multi-platform data with sample heterogeneity.MYLK and MYL9 expression in non-small cell lung cancer identified by bioinformatics analysis of public expression data.Outlier Analysis and Top Scoring Pair for Integrated Data Analysis and Biomarker Discovery.Identifying candidate drivers of drug response in heterogeneous cancer by mining high throughput genomics data.The use of knockout mice reveals a synergistic role of the Vav1 and Rasgrf2 gene deficiencies in lymphomagenesis and metastasisA genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancerDifferential expression analysis at the individual level reveals a lncRNA prognostic signature for lung adenocarcinoma.A comparison of methods for data-driven cancer outlier discovery, and an application scheme to semisupervised predictive biomarker discovery.Non-parametric change-point method for differential gene expression detection.Rearrangement of CRLF2 is associated with mutation of JAK kinases, alteration of IKZF1, Hispanic/Latino ethnicity, and a poor outcome in pediatric B-progenitor acute lymphoblastic leukemiaEvaluating translocation gene fusions by SNP array data.Correcting transcription factor gene sets for copy number and promoter methylation variations.rCUR: an R package for CUR matrix decomposition.Learning dysregulated pathways in cancers from differential variability analysis.Gene expression anti-profiles as a basis for accurate universal cancer signatures.mCOPA: analysis of heterogeneous features in cancer expression data.Pathway-based outlier method reveals heterogeneous genomic structure of autism in blood transcriptomeGENT: gene expression database of normal and tumor tissuesIdentification of novel microRNA regulatory pathways associated with heterogeneous prostate cancer.Identifying novel glioma associated pathways based on systems biology level meta-analysisGene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis.Loss of imprinting and marked gene elevation are 2 forms of aberrant IGF2 expression in colorectal cancer.Gene expression profiles predictive of outcome and age in infant acute lymphoblastic leukemia: a Children's Oncology Group study.Identification of novel cluster groups in pediatric high-risk B-precursor acute lymphoblastic leukemia with gene expression profiling: correlation with genome-wide DNA copy number alterations, clinical characteristics, and outcomeOutlier analysis of functional genomic profiles enriches for oncology targets and enables precision medicine.The transcriptional landscape and mutational profile of lung adenocarcinoma.Identification of key genes in hepatocellular carcinoma and validation of the candidate gene, cdc25a, using gene set enrichment analysis, meta-analysis and cross-species comparison.EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes.Outlier kinase expression by RNA sequencing as targets for precision therapy.Approaches to uncovering cancer diagnostic and prognostic molecular signaturesGenomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation.
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
COPA--cancer outlier profile analysis.
@en
COPA--cancer outlier profile analysis.
@nl
type
label
COPA--cancer outlier profile analysis.
@en
COPA--cancer outlier profile analysis.
@nl
prefLabel
COPA--cancer outlier profile analysis.
@en
COPA--cancer outlier profile analysis.
@nl
P2860
P356
P1433
P1476
COPA--cancer outlier profile analysis.
@en
P2093
Debashis Ghosh
James W MacDonald
P2860
P304
P356
10.1093/BIOINFORMATICS/BTL433
P407
P577
2006-08-07T00:00:00Z