Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines

scientific article

Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/S0014-5793(03)01275-4
P698PubMed publication ID14644442
P5875ResearchGate publication ID8986812

P2093author name stringWei Du
Xuefeng Bruce Ling
Xiaoning Peng
Liangbiao Chen
Qianghua Xu
Sihua Peng
P2860cites workMolecular classification of multiple tumor typesQ52058283
On cross validation for model selectionQ52216300
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
Molecular classification of cancer: class discovery and class prediction by gene expression monitoringQ27861072
Systematic variation in gene expression patterns in human cancer cell linesQ28145747
Multiclass cancer diagnosis using tumor gene expression signaturesQ29615780
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arraysQ29618684
Molecular classification of cutaneous malignant melanoma by gene expression profilingQ29619204
Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method.Q30679676
Genetic algorithms applied to multi-class prediction for the analysis of gene expression dataQ30757687
Support vector machine classification and validation of cancer tissue samples using microarray expression dataQ31835844
The lymphochip: a specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes.Q33936389
Chemosensitivity prediction by transcriptional profilingQ33943845
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networksQ34130347
Microphthalamia-associated transcription factor: a critical regulator of pigment cell development and survival.Q35146535
P433issue2
P407language of work or nameEnglishQ1860
P921main subjectalgorithmQ8366
support vector machineQ282453
P1104number of pages5
P304page(s)358-362
P577publication date2003-12-01
P1433published inFEBS LettersQ1388051
P1476titleMolecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines
P478volume555

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