GPX1Interactive Mining of Gene Expression Data

doi 10.1016/b978-012088469-8/50119-4
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier

Related search

Mining Data and Metadata From the Gene Expression Omnibus

Biophysical Reviews
Molecular BiologyStructural BiologyBiophysics
2018English

Mining 3D Patterns From Gene Expression Temporal Data: A New Tricluster Evaluation Measure

The Scientific World Journal
BiochemistryMedicineGeneticsMolecular BiologyEnvironmental Science
2014English

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

Symmetry
MathematicsChemistryPhysicsComputer ScienceAstronomy
2020English

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

PLoS ONE
Multidisciplinary
2015English

Adversarial Generation of Gene Expression Data

2019English

Validating Clusterings of Gene Expression Data

2010English

Determining Physical Mechanisms of Gene Expression Regulation From Single Cell Gene Expression Data

PLoS Computational Biology
Molecular NeuroscienceEvolutionEcologyGeneticsBehaviorMolecular BiologySystematicsSimulationCellularComputational TheoryMathematicsModeling
2016English

Seed-Based Biclustering of Gene Expression Data

PLoS ONE
Multidisciplinary
2012English

Weighted Set Enrichment of Gene Expression Data

BMC Systems Biology
Molecular BiologyApplied MathematicsStructural BiologySimulationComputer Science ApplicationsModeling
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy