Transcription network construction for large-scale microarray datasets using a high-performance computing approach

Keyphrases

• Transcriptional Network 100%
• High Performance Computing 100%
• Network Construction 100%
• Computing Approach 100%
• Microarray Data 100%
• Random Component 66%
• Gene Expression Data 66%
• Functional Modules 66%
• Parallel Computing 66%
• High-throughput Genomics 33%
• Computing Resources 33%
• Workstation 33%
• Orthogonal Rotation 33%
• Genomic Technologies 33%
• Publicly Available 33%
• Human Decision 33%
• Eigenvector 33%
• Microarray 33%
• Expression Data 33%
• Entire Genome 33%
• Random Matrix Theory 33%
• Gene Expression Profile 33%
• Eigenvalues 33%
• Varimax 33%
• Truly Random 33%
• Genome-wide Expression 33%
• Random Correlation Matrices 33%
• Correlation Matrix 33%
• Experiential Knowledge 33%
• Human Liver Cancer 33%
• ScaLAPACK 33%
• Distributed Storage 33%
• Inter-cluster 33%
• HPC Cluster 33%
• Human Involvement 33%
• Large-scale Dataset 33%
• Previous Literature 33%
• Experiment Analysis 33%
• Linux 33%
• Memory Computing 33%
• Computing Power 33%
• Genomic Datasets 33%
• Within-cluster Correlation 33%
• Computation Time 33%
• Cancer Data 33%
• Computation Overhead 33%

Computer Science

• Functional Module 100%
• Gene Expression Data 100%
• Correlation Matrix 100%
• High-Performance Computing 100%
• Experimental Result 50%
• Computing Resource 50%
• Supercomputer 50%
• Eigenvalue 50%
• Eigenvector 50%
• High Throughput 50%
• Convey Information 50%
• Computing Power 50%
• Parallel Computation 50%
• Computation Time 50%
• Human Involvement 50%
• Parallel Computer 50%
• Shared Memory 50%