Analysis of gene expression data using self-organizing maps.
about
Salmon louse (Lepeophtheirus salmonis) transcriptomes during post molting maturation and egg production, revealed using EST-sequencing and microarray analysisEstimating genomic coexpression networks using first-order conditional independenceMulti-class cancer classification by total principal component regression (TPCR) using microarray gene expression dataTrustworthiness and metrics in visualizing similarity of gene expressionClustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study.Probabilistic estimation of microarray data reliability and underlying gene expressionA transcriptome map of cellular transformation by the fos oncogeneSystems analysis of high-throughput dataA survey of computational intelligence techniques in protein function predictionNetwork motif-based identification of transcription factor-target gene relationships by integrating multi-source biological dataSimilarity searches in genome-wide numerical data setsNonlinear projection methods for visualizing Barcode data and application on two data sets.Large-scale clustering of cDNA-fingerprinting dataGene profiling techniques and their application in angiogenesis and vascular development.Systematic learning of gene functional classes from DNA array expression data by using multilayer perceptronsPattern identification and classification in gene expression data using an autoassociative neural network model.Component plane presentation integrated self-organizing map for microarray data analysis.Mining gene expression data using a novel approach based on hidden Markov models.GEPAS: A web-based resource for microarray gene expression data analysisExpressYourself: A modular platform for processing and visualizing microarray dataCAGEr: precise TSS data retrieval and high-resolution promoterome mining for integrative analysesGraphical exploration of gene expression data: a comparative study of three multivariate methods.A functional genomic study of the effects of antipsychotic agent chlorpromazine in PC12 cells.Time-dependent changes in gene expression profiles of midbrain dopamine neurons following haloperidol administration.Dynamic model-based clustering for time-course gene expression data.Biclustering of gene expression data by Non-smooth Non-negative Matrix Factorization.A classification based framework for quantitative description of large-scale microarray data.Breast cancer prognosis by combinatorial analysis of gene expression data.Object-oriented regression for building predictive models with high dimensional omics data from translational studies.GEDAS - Gene Expression Data Analysis SuiteThe wavelet-based cluster analysis for temporal gene expression dataAnalysis of gene-expression data using J-Express.DRAGON and DRAGON view: information annotation and visualization tools for large-scale expression data.Microarrays: lost in a storm of data?A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation.Transcription network construction for large-scale microarray datasets using a high-performance computing approachExpression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification.Improved procedures to mine data obtained from spotted cDNA arrays.Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization
P2860
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P2860
Analysis of gene expression data using self-organizing maps.
description
1999 nî lūn-bûn
@nan
1999 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի մայիսին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Analysis of gene expression data using self-organizing maps.
@ast
Analysis of gene expression data using self-organizing maps.
@en
type
label
Analysis of gene expression data using self-organizing maps.
@ast
Analysis of gene expression data using self-organizing maps.
@en
prefLabel
Analysis of gene expression data using self-organizing maps.
@ast
Analysis of gene expression data using self-organizing maps.
@en
P2093
P2860
P1433
P1476
Analysis of gene expression data using self-organizing maps.
@en
P2093
P2860
P304
P356
10.1016/S0014-5793(99)00524-4
P407
P50
P577
1999-05-01T00:00:00Z