Determination of minimum sample size and discriminatory expression patterns in microarray data.
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A functional and regulatory network associated with PIP expression in human breast cancerPerformance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlationsImproving identification of differentially expressed genes in microarray studies using information from public databasesRegulation of mouse hepatic genes in response to diet induced obesity, insulin resistance and fasting induced weight reduction.Effect of age on variability in the production of text-based global inferencesIncorporating genome-scale tools for studying energy homeostasis.An assessment of recently published gene expression data analyses: reporting experimental design and statistical factorsA simulation-approximation approach to sample size planning for high-dimensional classification studies.Using RNA sample titrations to assess microarray platform performance and normalization techniquesThe intraclass correlation coefficient applied for evaluation of data correction, labeling methods, and rectal biopsy sampling in DNA microarray experiments.Advanced significance analysis of microarray data based on weighted resampling: a comparative study and application to gene deletions in Mycobacterium bovis.Computational strategies for analyzing data in gene expression microarray experiments.A dynamic, web-accessible resource to process raw microarray scan data into consolidated gene expression values: importance of replicationSample size planning for developing classifiers using high-dimensional DNA microarray data.The expression of native and cultured RPE grown on different matrices.Analysis of time-series gene expression data: methods, challenges, and opportunities.Microarray data analysis: from disarray to consolidation and consensus.Determination of the minimum number of microarray experiments for discovery of gene expression patternsMixture-model based estimation of gene expression variance from public database improves identification of differentially expressed genes in small sized microarray data.Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithmsEffective feature selection framework for cluster analysis of microarray dataSupervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgeryDetermination of minimum training sample size for microarray-based cancer outcome prediction-an empirical assessment.Genes dysregulated to different extent or oppositely in estrogen receptor-positive and estrogen receptor-negative breast cancers.Deciphering cellular states of innate tumor drug responses.MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approachMinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.Statistical challenges with gene expression studies.Microarray RNA transcriptional profiling: part I. Platforms, experimental design and standardization.Use of gene expression microarrays for the study of acute leukemia.Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer researchMicroarray-Based Gene Expression Analysis for Veterinary Pathologists: A Review.The expression of native and cultured human retinal pigment epithelial cells grown in different culture conditionsStudy design in high-dimensional classification analysis.A novel weighted support vector machine based on particle swarm optimization for gene selection and tumor classification.Molecular signature of late-stage human ALS revealed by expression profiling of postmortem spinal cord gray matter.Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.Quick calculation for sample size while controlling false discovery rate with application to microarray analysis.Microarray experimental design: power and sample size considerations.Mouse cardiac surgery: comprehensive techniques for the generation of mouse models of human diseases and their application for genomic studies.
P2860
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P2860
Determination of minimum sample size and discriminatory expression patterns in microarray data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Determination of minimum sampl ...... n patterns in microarray data.
@ast
Determination of minimum sampl ...... n patterns in microarray data.
@en
type
label
Determination of minimum sampl ...... n patterns in microarray data.
@ast
Determination of minimum sampl ...... n patterns in microarray data.
@en
prefLabel
Determination of minimum sampl ...... n patterns in microarray data.
@ast
Determination of minimum sampl ...... n patterns in microarray data.
@en
P2093
P356
P1433
P1476
Determination of minimum sampl ...... n patterns in microarray data.
@en
P2093
Daehee Hwang
George Stephanopoulos
Gregory Stephanopoulos
William A Schmitt
P304
P356
10.1093/BIOINFORMATICS/18.9.1184
P407
P577
2002-09-01T00:00:00Z