Clustering Gene Expression Data With a Penalized Graph-Based Metric

BMC Bioinformatics - United Kingdom
doi 10.1186/1471-2105-12-2
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Swarm-Based Clustering for Gene Expression Data

Advances in Knowledge Acquisition, Transfer, and Management
2017English

Gene Expression Data Clustering and Visualization Based on a Binary Hierarchical Clustering Framework

Journal of Visual Languages and Computing
LinguisticsComputer Science ApplicationsHuman-Computer InteractionLanguage
2003English

Metric-Constrained Optimization for Graph Clustering Algorithms

SIAM Journal on Mathematics of Data Science
2019English

Analysis of Genetic Analysis Workshop 18 Data With Gene-Based Penalized Regression

BMC Proceedings
BiochemistryMedicineGeneticsMolecular Biology
2014English

Association Rule Based Similarity Measures for the Clustering of Gene Expression Data

The Open Medical Informatics Journal
2010English

Autoregressive-Model Based Dynamic Fuzzy Clustering for Time-Course Gene Expression Data

Biotechnology
BiochemistryGeneticsMolecular Biology
2008English

Incorporating Heterogeneous Biological Data Sources in Clustering Gene Expression Data

Health
2009English

Clustering Gene Expression Signals From Retinal Microarray Data

2002English

Metric Incremental Clustering of Nominal Data

English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy