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Gene expression microarray is a very powerful high-throughput tool capable of monitoring the expression of thousands of genes in an organism simultaneously. The power of these tools has been applied to a range of applications, including discovering novel disease subtypes, developing new diagnostic tools, and identifying underlying mechanisms of disease or drug response. However, this technology necessarily produces a large amount of data, challenging us to interpret it by exploiting modern computational and statistical tools.
Captures the uncertainty and underlying clusters in the data. GSOM is effective…
Captures the uncertainty and underlying clusters in the data. GSOM is effective in both clustering samples and developing an unsupervised fuzzy rough feature selection (UFRFS) method for gene…
Evaluates cellular engineering processes in a systemic rather than marker-based…
Evaluates cellular engineering processes in a systemic rather than marker-based fashion. eegc integrates transcriptome profiling and functional analysis. It clusters genes into categories…
Extracts biclusters from multiple time-series of gene expression profiles.…
Extracts biclusters from multiple time-series of gene expression profiles. EDISA is a probabilistic clustering approach for 3D gene-condition-time datasets and an extension of the ISA approach. This…
Infers cell type-specific expression based on co-expression similarity with…
Infers cell type-specific expression based on co-expression similarity with known cell type marker genes. CellMapper is an R package that can make accurate predictions using publicly available…
An interactive tool for comparing lists with Venn Diagrams.
An interactive tool for comparing lists with Venn Diagrams.
An innovative online platform to help you interpret your results, prioritize…
An innovative online platform to help you interpret your results, prioritize targets and biomarkers, identify correlated genes, discover novel disease-specific genes, or simply to explore the…
A user-friendly platform for Monte Carlo-based significance evaluation of…
A user-friendly platform for Monte Carlo-based significance evaluation of pairwise distances.
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