BioMed Research International

Cardiovascular Damage in Alzheimer Disease: Autopsy Findings From the Bryan ADRC

Online Analytical Processing (OLAP): A Fast and Effective Data Mining Tool for Gene Expression Databases

Computational, Integrative, and Comparative Methods for the Elucidation of Genetic Coexpression Networks

Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection

Response of Mouse Breast Cancer Cells to Anastrozole, Tamoxifen, and the Combination

Gene Expression Data Classification With Kernel Principal Component Analysis

Classification and Selection of Biomarkers in Genomic Data Using LASSO

Protein Coding Sequence Identification by Simultaneously Characterizing the Periodic and Random Features of DNA Sequences

Selecting Genes by Test Statistics

Contextual Multiple Sequence Alignment

Combining Information From Multiple Data Sources to Create Multivariable Risk Models: Illustration and Preliminary Assessment of a New Method

Data-Mining Analysis Suggests an Epigenetic Pathogenesis for Type 2 Diabetes

High-Betweenness Proteins in the Yeast Protein Interaction Network

Objective Clustering of Proteins Based on Subcellular Location Patterns

Functional Clustering Algorithm for High-Dimensional Proteomics Data

BioMed Research International

Table of Contents

Table of Contents: 2005

Cardiovascular Damage in Alzheimer Disease: Autopsy Findings From the Bryan ADRC

Online Analytical Processing (OLAP): A Fast and Effective Data Mining Tool for Gene Expression Databases

Computational, Integrative, and Comparative Methods for the Elucidation of Genetic Coexpression Networks

Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection

Response of Mouse Breast Cancer Cells to Anastrozole, Tamoxifen, and the Combination

Gene Expression Data Classification With Kernel Principal Component Analysis

Classification and Selection of Biomarkers in Genomic Data Using LASSO

Protein Coding Sequence Identification by Simultaneously Characterizing the Periodic and Random Features of DNA Sequences

Selecting Genes by Test Statistics

Contextual Multiple Sequence Alignment

Combining Information From Multiple Data Sources to Create Multivariable Risk Models: Illustration and Preliminary Assessment of a New Method

Data-Mining Analysis Suggests an Epigenetic Pathogenesis for Type 2 Diabetes

High-Betweenness Proteins in the Yeast Protein Interaction Network

Objective Clustering of Proteins Based on Subcellular Location Patterns

Functional Clustering Algorithm for High-Dimensional Proteomics Data