A Stable SVM-RFE Feature Selection Method for Gene Expression Data

International Journal of Engineering and Advanced Technology - India
doi 10.35940/ijeat.f8482.088619
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Related search

A Method of Dual-Process Sample Selection for Feature Selection on Gene Expression Data

International Journal of Physical Sciences
2013English

Robust Feature Selection Approach for Patient Classification Using Gene Expression Data

Bioinformation
2017English

Classification of Gene Expression Data With Optimized Feature Selection

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

Computational and Mathematical Methods in Medicine
GeneticsMolecular BiologyBiochemistryApplied MathematicsMicrobiology SimulationImmunologyMedicineModeling
2013English

Review on Feature Selection Techniques and the Impact of SVM for Cancer Classification Using Gene Expression Profile

International Journal of Computer Science & Engineering Survey
2011English

Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Stable Feature Selection and Classification Algorithms for Multiclass Microarray Data

Biology Direct
EvolutionEcologyGeneticsMolecular BiologyBiochemistryApplied MathematicsSystematicsSimulationImmunologyBehaviorBiological SciencesAgriculturalModeling
2012English

A Robust Fuzzy Rule Based Integrative Feature Selection Strategy for Gene Expression Data in TCGA

BMC Medical Genomics
Genetics
2019English

Distributed Feature Selection(DFS) Strategy for Microarray Gene Expression Data to Improve the Classification Performance

Clinical Epidemiology and Global Health
EpidemiologyPublic HealthMicrobiologyEnvironmentalInfectious DiseasesOccupational Health
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy