Outcome-Driven Cluster Analysis With Application to Microarray Data

PLoS ONE - United States
doi 10.1371/journal.pone.0141874
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Multiple-Platform Data Integration Method With Application to Combined Analysis of Microarray and Proteomic Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2012English

A Systematic, Data-Driven Approach to the Combined Analysis of Microarray and QTL Data

Developments in Biologicals
2008English

Effective Feature Selection Framework for Cluster Analysis of Microarray Data

Bioinformation
2010English

Incorporating Predictor Network in Penalized Regression With Application to Microarray Data

Biometrics
StatisticsGeneticsProbabilityMolecular BiologyBiochemistryApplied MathematicsMicrobiology ImmunologyBiological SciencesMedicineAgricultural
2009English

Correspondence Analysis Applied to Microarray Data

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2001English

Application of Toxicogenomics to Toxicology: Basic Concepts in the Analysis of Microarray Data

Toxicologic Pathology
Forensic MedicineToxicologyPathologyCell BiologyMolecular Biology
2004English

Microarray Data Analysis: From Disarray to Consolidation and Consensus

Nature Reviews Genetics
GeneticsMolecular Biology
2006English

A Guide to Issues in Microarray Analysis: Application to Endometrial Biology

Reproduction
Cell BiologyGynecologyEndocrinologyReproductive MedicineObstetricsEmbryology
2005English

Statistical Methods for Microarray Data Analysis

Methods in Molecular Biology
GeneticsMolecular Biology
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy