about
Identification of disease-causing genes using microarray data mining and Gene Ontology.Comprehensive evaluation of composite gene features in cancer outcome prediction.iRDA: a new filter towards predictive, stable, and enriched candidate genes.Gene selection using iterative feature elimination random forests for survival outcomes.Prediction of breast cancer metastasis by gene expression profiles: a comparison of metagenes and single genes.Differentially Coexpressed Disease Gene Identification Based on Gene Coexpression NetworkComputer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility StudyRegions of interest computed by SVM wrapped method for Alzheimer's disease examination from segmented MRI.A feature selection method based on multiple kernel learning with expression profiles of different typesUsing protein interaction database and support vector machines to improve gene signatures for prediction of breast cancer recurrence.The role of electrostatic energy in prediction of obligate protein-protein interactionsProSim: A Method for Prioritizing Disease Genes Based on Protein Proximity and Disease Similarity.A computational study identifies HIV progression-related genes using mRMR and shortest path tracing.Improved detection of DNA-binding proteins via compression technology on PSSM information.Identifying relevant group of miRNAs in cancer using fuzzy mutual information.Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.A Comparative Study of Feature Selection Methods for the Discriminative Analysis of Temporal Lobe Epilepsy.Dynamics of Epileptiform Discharges Induced by Transcranial Magnetic Stimulation in Genetic Generalized Epilepsy.Efficient feature selection and classification for microarray data
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
SVM-RFE with MRMR filter for gene selection.
@en
type
label
SVM-RFE with MRMR filter for gene selection.
@en
prefLabel
SVM-RFE with MRMR filter for gene selection.
@en
P356
P1476
SVM-RFE with MRMR filter for gene selection.
@en
P2093
Jagath C Rajapakse
Piyushkumar A Mundra
P356
10.1109/TNB.2009.2035284
P577
2009-10-30T00:00:00Z