-
- Population genetics
- , Evolution biology
-
- Software tool
CT-CBN
Estimate conjunctive Bayesian networks
ISA
- Transcriptomics
- Software tool
The Iterative Signature Algorithm (ISA) was designed to reduce the complexity of very large sets of data by decomposing it into so-called "modules". In the context of gene expression data these modules consist of subsets of genes that exhibit a coherent expression profile only over a subset of microarray experiments. Genes and arrays may be attributed to multiple modules and the level of required coherence can be varied resulting in different "resolutions" of the modular mapping.
Browse the resource website
You might also be interested in
-
- Genomics
- , Transcriptomics
- , Metagenomics
-
- Population genetics
-
- Software tool
mOTUs
Microbial taxonomic and population genomic profiler-
-
- Genomics
- , Transcriptomics
-
- Software tool
miRmap
Prediction of microRNA target repression strength-
-
- Genomics
-
- Evolution biology
-
- Software tool
BUSCO
From QC to gene prediction and phylogenomics-
-
- Genes & Genomes
-
- Evolution biology
-
- Database
-
- Software tool
SwissOrthology
One-stop shop for orthologs-
-
- Transcriptomics
-
- Software tool
ExpressionView
Biclusters identified in gene expression data-
-
- Transcriptomics
- , Genomics
-
- Software tool
ASAP
Web-based, cooperative portal for single-cell data analyses-