Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer.
about
A modular organization of the human intestinal mucosal microbiota and its association with inflammatory bowel diseaseSpeeding up the Consensus Clustering methodology for microarray data analysisParallel classification and feature selection in microarray data using SPRINT.MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets.AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number.SWISS MADE: Standardized WithIn Class Sum of Squares to evaluate methodologies and dataset elements.Dynamics of dendritic cell maturation are identified through a novel filtering strategy applied to biological time-course microarray replicatesChallenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering.Transcriptome analysis of Neisseria meningitidis in human whole blood and mutagenesis studies identify virulence factors involved in blood survival.A guide through the computational analysis of isotope-labeled mass spectrometry-based quantitative proteomics data: an application studySublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors.clusterMaker: a multi-algorithm clustering plugin for Cytoscape.A systematic comparison of genome-scale clustering algorithms.A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.PFClust: a novel parameter free clustering algorithmMicrogeographic Proteomic Networks of the Human Colonic Mucosa and Their Association With Inflammatory Bowel DiseaseA plasma cytokine and angiogenic factor (CAF) analysis for selection of bevacizumab therapy in patients with metastatic colorectal cancerGene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.Progeny Clustering: A Method to Identify Biological Phenotypes.A new validity measure for a correlation-based fuzzy c-means clustering algorithm.
P2860
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P2860
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer.
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Computational cluster validati ...... Statistics and Model Explorer.
@ast
Computational cluster validati ...... Statistics and Model Explorer.
@en
type
label
Computational cluster validati ...... Statistics and Model Explorer.
@ast
Computational cluster validati ...... Statistics and Model Explorer.
@en
prefLabel
Computational cluster validati ...... Statistics and Model Explorer.
@ast
Computational cluster validati ...... Statistics and Model Explorer.
@en
P2093
P2860
P356
P1433
P1476
Computational cluster validati ...... Statistics and Model Explorer.
@en
P2093
Davide Scaturro
Filippo Utro
Raffaele Giancarlo
P2860
P2888
P356
10.1186/1471-2105-9-462
P577
2008-10-29T00:00:00Z
P5875
P6179
1016453591