Accurate molecular classification of human cancers based on gene expression using a simple classifier with a pathological tree-based framework.
about
SED, a normalization free method for DNA microarray data analysisPredictive and prognostic molecular markers for cancer medicineClassification of tumor samples from expression data using decision trunks.Approaches to working in high-dimensional data spaces: gene expression microarrays.A ground truth based comparative study on clustering of gene expression data.caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.Hybrid model integrating immunohistochemistry and expression profiling for the classification of carcinomas of unknown primary site.Genomic signatures for predicting survival and adjuvant chemotherapy benefit in patients with non-small-cell lung cancerRNA-Seq accurately identifies cancer biomarker signatures to distinguish tissue of origin.A microarray-based gene expression analysis to identify diagnostic biomarkers for unknown primary cancerMicroRNAs accurately identify cancer tissue origin.Gene expression profiling may improve diagnosis in patients with carcinoma of unknown primary.Epidermal growth factor receptor mutations in lung cancers.The emergent role of microRNAs in molecular diagnostics of cancer.Molecular classification and prognostication of adrenocortical tumors by transcriptome profiling.The modern histopathologist: in the changing face of time.How is gene-expression profiling going to challenge the future management of lung cancer?Comparison of histopathological and gene expression-based typing of cancer of unknown primary.Microarray: an instrument for cancer surgeons of the future?Customising an antibody leukocyte capture microarray for systemic lupus erythematosus: beyond biomarker discovery.Gene expression profiling in patients with carcinoma of unknown primary site: from translational research to standard of care.ISOLATE: a computational strategy for identifying the primary origin of cancers using high-throughput sequencing.A naive Bayes algorithm for tissue origin diagnosis (TOD-Bayes) of synchronous multifocal tumors in the hepatobiliary and pancreatic system.Validation of a microRNA-based qRT-PCR test for accurate identification of tumor tissue origin.Implementation of a novel microarray-based diagnostic test for cancer of unknown primary.CH-overtone regions as diagnostic markers for near-infrared spectroscopic diagnosis of primary cancers in human pancreas and colorectal tissue.
P2860
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P2860
Accurate molecular classification of human cancers based on gene expression using a simple classifier with a pathological tree-based framework.
description
2003 nî lūn-bûn
@nan
2003 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Accurate molecular classificat ...... ological tree-based framework.
@ast
Accurate molecular classificat ...... ological tree-based framework.
@en
type
label
Accurate molecular classificat ...... ological tree-based framework.
@ast
Accurate molecular classificat ...... ological tree-based framework.
@en
prefLabel
Accurate molecular classificat ...... ological tree-based framework.
@ast
Accurate molecular classificat ...... ological tree-based framework.
@en
P2093
P2860
P50
P1476
Accurate molecular classificat ...... hological tree-based framework
@en
P2093
Craig Logsdon
David E Misek
David G Beer
Diane Simeone
Donald R Schwartz
Eric R Fearon
Jeremy M G Taylor
Joel K Greenson
Kerby A Shedden
Rork Kuick
P2860
P304
P356
10.1016/S0002-9440(10)63557-2
P407
P577
2003-11-01T00:00:00Z