Comparison of Linear Discriminant Analysis Methods for the Classification of Cancer Based on Gene Expression Data

Journal of Experimental and Clinical Cancer Research - United Kingdom
doi 10.1186/1756-9966-28-149
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Luwak Coffee Classification Using UV-Vis Spectroscopy Data: Comparison of Linear Discriminant Analysis and Support Vector Machine Methods

Aceh International Journal of Science and Technology
2018English

Stereoscopic Video Shot Classification Based on Weighted Linear Discriminant Analysis

2014English

A Review of Cancer Classification Software for Gene Expression Data

International Journal of Bio-Science and Bio-Technology
BioengineeringBiomedical EngineeringArtificial IntelligenceBiotechnology
2015English

Linear Discriminant Analysis for Two Classes via Removal of Classification Structure

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
1997English

A Comparison of Generalized Linear Discriminant Analysis Algorithms

Pattern Recognition
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2008English

Directional Representation of Data in Linear Discriminant Analysis

Biometrical Letters
2015English

CORaL: Comparison of Ranked Lists for Analysis of Gene Expression Data

Journal of Computational Biology
GeneticsMolecular BiologyComputational TheorySimulationComputational MathematicsMathematicsModeling
2013English

A Comparison of Methods for Differential Expression Analysis of RNA-seq Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2013English

Unsupervised Wishart Classfication of Wetlands in Newfoundland, Canada Using Polsar Data Based on Fisher Linear Discriminant Analysis

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy