Analyzing Large Gene Expression and Methylation Data Profiles Using StatBicRM: Statistical Biclustering-Based Rule Mining

PLoS ONE - United States
doi 10.1371/journal.pone.0119448
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Seed-Based Biclustering of Gene Expression Data

PLoS ONE
Multidisciplinary
2012English

Breast and Colon Cancer Classification From Gene Expression Profiles Using Data Mining Techniques

Symmetry
MathematicsChemistryPhysicsComputer ScienceAstronomy
2020English

New Metaheuristics Approaches for Biclustering of Gene Expression Data

EMBnet.journal
2012English

A General Framework for Biclustering Gene Expression Data

Journal of Bioinformatics and Computational Biology
BiochemistryComputer Science ApplicationsMolecular Biology
2006English

Use of Biclustering for Missing Value Imputation in Gene Expression Data

Artificial Intelligence Research
2013English

Constraint-Based Rule Mining in Large, Dense Databases

1999English

Efficient Pattern Generation Using Declat Algorithm Based on Association Rule Mining in Educational Data Mining

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2020English

Analysing Customer Profiles Using Data Mining Techniques

2012English

A Novel Biclustering Approach With Iterative Optimization to Analyze Gene Expression Data

Advances and Applications in Bioinformatics and Chemistry
BiochemistryComputer Science ApplicationsChemistryGeneticsMolecular Biology
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy