Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions

scientific article

Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1155/2014/589290
P932PMC publication ID4130026
P698PubMed publication ID25140319
P5875ResearchGate publication ID264940826

P2093author name stringYuan Chen
Hongyan Zhang
Chao Luo
Lanzhi Li
Zheming Yuan
Zhijun Dai
Congwei Sun
P2860cites workMLL translocations specify a distinct gene expression profile that distinguishes a unique leukemiaQ38294261
Simple decision rules for classifying human cancers from gene expression profilesQ41735339
TSG: a new algorithm for binary and multi-class cancer classification and informative genes selectionQ41908005
Structures and Assumptions: Strategies to Harness Gene × Gene and Gene × Environment Interactions in GWAS.Q42732243
Feature selection for gene expression using model-based entropy.Q45963120
Molecular classification of human carcinomas by use of gene expression signatures.Q45967210
SVM–T-RFE: A novel gene selection algorithm for identifying metastasis-related genes in colorectal cancer using gene expression profilesQ51430127
AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived propertiesQ51639977
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
Gene-Expression Profiles in Hereditary Breast CancerQ57240053
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profilingQ61910882
Classifying gene expression profiles from pairwise mRNA comparisonsQ24681960
Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingQ27860529
Molecular classification of cancer: class discovery and class prediction by gene expression monitoringQ27861072
Molecular portraits of human breast tumoursQ28032461
The transcriptional program in the response of human fibroblasts to serumQ28292705
Multiple-platform data integration method with application to combined analysis of microarray and proteomic dataQ28388471
Gene-expression profiles predict survival of patients with lung adenocarcinomaQ29614443
Diagnosis of multiple cancer types by shrunken centroids of gene expressionQ29615528
Multiclass cancer diagnosis using tumor gene expression signaturesQ29615780
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclassesQ29616071
The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide dataQ30501992
Interaction-based feature selection and classification for high-dimensional biological dataQ30560970
Gene selection from microarray data for cancer classification--a machine learning approach.Q30981694
Improved binary PSO for feature selection using gene expression dataQ31137048
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutationsQ33495401
A multiple-filter-multiple-wrapper approach to gene selection and microarray data classificationQ33530838
Improving Cancer Classification Accuracy Using Gene PairsQ33784190
k-Nearest neighbor models for microarray gene expression analysis and clinical outcome predictionQ34059963
The influence of feature selection methods on accuracy, stability and interpretability of molecular signaturesQ34113527
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networksQ34130347
Uniform approximation is more appropriate for Wilcoxon Rank-Sum Test in gene set analysisQ34162870
Gene selection and classification for cancer microarray data based on machine learning and similarity measuresQ34173671
The top-scoring 'N' algorithm: a generalized relative expression classification method from small numbers of biomoleculesQ34411134
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancyQ34445269
Improving accuracy for cancer classification with a new algorithm for genes selectionQ34475554
A novel approach for biomarker selection and the integration of repeated measures experiments from two assaysQ34502620
P275copyright licenseCreative Commons Attribution 3.0 UnportedQ14947546
P6216copyright statuscopyrightedQ50423863
P407language of work or nameEnglishQ1860
P304page(s)589290
P577publication date2014-07-23
P1433published inBioMed Research InternationalQ17509958
P1476titleInformative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions
P478volume2014

Reverse relations

Q47291442Identification of Disease Critical Genes Using Collective Meta-heuristic Approaches: An Application to Preeclampsiacites workP2860

Search more.