HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data.
about
Current Awareness on Comparative and Functional GenomicsIndividualized markers optimize class prediction of microarray dataCombining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data.A comparison of selective classification methods in DNA microarray data of cancer: some recommendations for application in health promotion.An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data.Selecting dissimilar genes for multi-class classification, an application in cancer subtypingSignature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene expression signaturesA Java-based tool for the design of classification microarrays.Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems.Accurate molecular classification of cancer using simple rulesA multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.A robust gene selection method for microarray-based cancer classification.Identification of disease-causing genes using microarray data mining and Gene Ontology.Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification.Iterative feature removal yields highly discriminative pathwaysGene selection for cancer classification with the help of beesAnomaly Detection in Host Signaling Pathways for the Early Prognosis of Acute Infection.A clustering-based approach for efficient identification of microRNA combinatorial biomarkersMicroarray-based cancer prediction using soft computing approachA modified ant colony optimization algorithm for tumor marker gene selection.Identification of Marker Genes for Cancer Based on Microarrays Using a Computational Biology Approach.A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversionA hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system.Developing classifiers for the detection of cancer using multi-analytes.Computer-aided biomarker discovery for precision medicine: data resources, models and applications.Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification.The simple classification of multiple cancer types using a small number of significant genes.An Evolutionary Method for Combining Different Feature Selection Criteria in Microarray Data ClassificationHYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery
P2860
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P2860
HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
name
HykGene: a hybrid approach for ...... croarray gene expression data.
@ast
HykGene: a hybrid approach for ...... croarray gene expression data.
@en
type
label
HykGene: a hybrid approach for ...... croarray gene expression data.
@ast
HykGene: a hybrid approach for ...... croarray gene expression data.
@en
prefLabel
HykGene: a hybrid approach for ...... croarray gene expression data.
@ast
HykGene: a hybrid approach for ...... croarray gene expression data.
@en
P2093
P356
P1433
P1476
HykGene: a hybrid approach for ...... croarray gene expression data.
@en
P2093
Fillia S Makedon
James C Ford
Justin Pearlman
Yuhang Wang
P304
P356
10.1093/BIOINFORMATICS/BTI192
P407
P577
2004-12-07T00:00:00Z