about
Institutional shared resources and translational cancer researchPotential biomarkers for esophageal cancerTranscriptomic biomarkers of cardiovascular diseaseNetwork-based identification of biomarkers coexpressed with multiple pathwaysGene expression patterns of dengue virus-infected children from nicaragua reveal a distinct signature of increased metabolismCardiovascular genomics: a biomarker identification pipelinePost-genomic clinical trials: the perspective of ACGTGene expression profiling associated with the progression to poorly differentiated thyroid carcinomasCluster analysis of placental inflammatory proteins can distinguish preeclampsia from preterm labor and premature membrane rupture in singleton deliveries less than 28 weeks of gestationUsing gene expression data to identify certain gastro-intestinal diseases.Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.Deciphering global signal features of high-throughput array data from cancers.Identification of gene signatures used to recognize biological characteristics of gastric cancer upon gene expression data.Two-transcript gene expression classifiers in the diagnosis and prognosis of human diseases.Identification of phenotype-relevant differentially expressed genes in breast cancer demonstrates enhanced quantile discretization protocol's utility in multi-platform microarray data integration.Construction of a reference gene association network from multiple profiling data: application to data analysis.GEAMM v.1.4: a versatile program for mixed model analysis of gene expression data.Phylogenetic modeling of heterogeneous gene-expression microarray data from cancerous specimens.Comprehensive expression profiling of tumor cell lines identifies molecular signatures of melanoma progression.Portraits of breast cancer progression.A new method for class prediction based on signed-rank algorithms applied to Affymetrix microarray experiments.Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data.Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experimentsA neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray dataMolecular classification of melanomas and nevi using gene expression microarray signatures and formalin-fixed and paraffin-embedded tissue.Subgingival bacterial colonization profiles correlate with gingival tissue gene expression.Gene expression profiles of lung adenocarcinoma linked to histopathological grading and survival but not to EGF-R status: a microarray study.Analysis of multiple sarcoma expression datasets: implications for classification, oncogenic pathway activation and chemotherapy resistancePredictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer.Integrative analysis of -omics data and histologic scoring in renal disease and transplantation: renal histogenomics.Mathematical modeling of molecular data in translational medicine: theoretical considerations.Estimating developmental states of tumors and normal tissues using a linear time-ordered model.Using systems biology to simplify complex disease: immune cartography.Comparative profiling of primary colorectal carcinomas and liver metastases identifies LEF1 as a prognostic biomarkerAnalysis of normal-tumour tissue interaction in tumours: prediction of prostate cancer features from the molecular profile of adjacent normal cells.Why is there a lack of consensus on molecular subgroups of glioblastoma? Understanding the nature of biological and statistical variability in glioblastoma expression data.Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets.Current status of predictive biomarkers for neoadjuvant therapy in esophageal cancerExtensive up-regulation of gene expression in cancer: the normalised use of microarray data.A decade of systems biology
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-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
2006年學術文章
@zh-hant
name
Microarray analysis and tumor classification.
@ast
Microarray analysis and tumor classification.
@en
type
label
Microarray analysis and tumor classification.
@ast
Microarray analysis and tumor classification.
@en
prefLabel
Microarray analysis and tumor classification.
@ast
Microarray analysis and tumor classification.
@en
P356
P1476
Microarray analysis and tumor classification.
@en
P304
P356
10.1056/NEJMRA042342
P407
P577
2006-06-01T00:00:00Z