In silico estimates of tissue components in surgical samples based on expression profiling data. - Wikidata - awgldk - TriplyDB

In silico estimates of tissue components in surgical samples based on expression profiling data.

In silico estimates of tissue components in surgical samples based on expression profiling data.

http://www.wikidata.org/entity/Q33642598

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Expression differences between African American and Caucasian prostate cancer tissue reveals that stroma is the site of aggressive changes An accurate prostate cancer prognosticator using a seven-gene signature plus Gleason score and taking cell type heterogeneity into account Computational solutions for omics data.A self-directed method for cell-type identification and separation of gene expression microarrays.Zinc transporters in prostate cancer.Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression.Integrative network biology: graph prototyping for co-expression cancer networks.The role of homeostatic regulation between tumor suppressor DAB2IP and oncogenic Skp2 in prostate cancer growth.Expression changes in the stroma of prostate cancer predict subsequent relapse Early Growth Response 3 regulates genes of inflammation and directly activates IL6 and IL8 expression in prostate cancer.Characterization of transcriptional changes in ERG rearrangement-positive prostate cancer identifies the regulation of metabolic sensors such as neuropeptide Y.Molecular profiling of multiple human cancers defines an inflammatory cancer-associated molecular pattern and uncovers KPNA2 as a uniform poor prognostic cancer marker Key regulators in prostate cancer identified by co-expression module analysis Diagnosis of prostate cancer using differentially expressed genes in stroma Gene signatures ESC, MYC and ERG-fusion are early markers of a potentially dangerous subtype of prostate cancer.ISOpureR: an R implementation of a computational purification algorithm of mixed tumour profiles.A microRNA biomarker of hepatocellular carcinoma recurrence following liver transplantation accounting for within-patient heterogeneity.A Balanced Tissue Composition Reveals New Metabolic and Gene Expression Markers in Prostate Cancer Xenome--a tool for classifying reads from xenograft samples.A cross-cancer differential co-expression network reveals microRNA-regulated oncogenic functional modules Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma.Gene signatures distinguish stage-specific prostate cancer stem cells isolated from transgenic adenocarcinoma of the mouse prostate lesions and predict the malignancy of human tumors.A sample selection strategy to boost the statistical power of signature detection in cancer expression profile studies SPARCL1 suppresses metastasis in prostate cancer.A novel non-canonical Wnt signature for prostate cancer aggressiveness.KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer-a targeted molecular approach Dynein axonemal heavy chain 8 promotes androgen receptor activity and associates with prostate cancer progression.Generation of "virtual" control groups for single arm prostate cancer adjuvant trials.Computational purification of individual tumor gene expression profiles leads to significant improvements in prognostic prediction.The identification of trans-associations between prostate cancer GWAS SNPs and RNA expression differences in tumor-adjacent stroma.Shared gene expression alterations in prostate cancer and histologically benign prostate from patients with prostate cancer.Analysis of apoptosis methods recently used in Cancer Research and Cell Death & Disease publications.Epigenetic markers of prostate cancer in plasma circulating DNA.SFRP4 gene expression is increased in aggressive prostate cancer.Computational purification of tumor gene expression data.Cholesterol synthesis pathway genes in prostate cancer are transcriptionally downregulated when tissue confounding is minimized.Large set data mining reveals overexpressed GPCRs in prostate and breast cancer: potential for active targeting with engineered anti-cancer nanomedicines.RankProd Combined with Genetic Algorithm Optimized Artificial Neural Network Establishes a Diagnostic and Prognostic Prediction Model that Revealed C1QTNF3 as a Biomarker for Prostate Cancer.

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P2860

In silico estimates of tissue components in surgical samples based on expression profiling data.

http://www.wikidata.org/entity/Q33642598

description

2010 nî lūn-bûn

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2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հուլիսին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

In silico estimates of tissue ...... on expression profiling data.

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In silico estimates of tissue ...... on expression profiling data.

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type

label

In silico estimates of tissue ...... on expression profiling data.

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In silico estimates of tissue ...... on expression profiling data.

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prefLabel

In silico estimates of tissue ...... on expression profiling data.

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In silico estimates of tissue ...... on expression profiling data.

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Cancer Research

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In silico estimates of tissue ...... on expression profiling data.

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Anne Sawyers

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Dan Mercola

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Huazhen Yao

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Jessica Wang-Rodriquez

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Yipeng Wang

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Zhenyu Jia

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P2860

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

Repeated observation of breast tumor subtypes in independent gene expression data sets

In vivo gene expression profile analysis of human breast cancer progression

Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer

New technologies for biomarker analysis of prostate cancer progression: Laser capture microdissection and tissue proteomics.

Computational expression deconvolution in a complex mammalian organ

WebArrayDB: cross-platform microarray data analysis and public data repository

Statistical expression deconvolution from mixed tissue samples.

The effect of the stromal component of breast tumours on prediction of clinical outcome using gene expression microarray analysis.

In silico dissection of cell-type-associated patterns of gene expression in prostate cancer

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