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hierarchical microarray clustering (1)

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To illustrate our caGrid plug-in’s application, we tested it with a microarray hierarchical clustering workflow that involves services hosted at multiple institutions. Microarrays are a high-throughput technology used to measure the expression of tens of thousands of genes in different tissues or cells. Scientists represent the data from each microarray via a vector (profile) in which each element represents a gene’s expression level. They use clustering analysis to identify sim...

Created: 2008-12-05 | Last updated: 2008-12-05

Credits: Wei Tan

Clustering of Molecular Compounds with Bio... (4)

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This workflow downloads an input set of molecular compounds in SMILES format, using Chemspider service. The most frequent molecular fragments are extracted by means of MoSS tool (see http://www.borgelt.net/moss.html) , in order to obtain a set of features for each compound. Then a clustering and a visual exploration of the input dataset is performed by BioDICE service (see http://biolab.pa.icar.cnr.it/biodice.html), implementing Fast Learning Self-Organized Map (FLSOM) algorithm. Finally the ...

Created: 2013-05-29 | Last updated: 2014-01-09

Credits: Antonino Fiannaca Massimo La Rosa

Attributions: Get compound information Simple search

SNP identification and evaluation for Diab... (1)

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This workflow gathers SNP information for a gene set of Diabetes Type II phenotype using BioMart queries. Furthermore, GO Terms and functional annotation clustering are defined for this gene set using FunctionalClusterDavid workflow. 

Created: 2015-06-23

Credits: Nikolaos Bismpikos Katy Wolstencroft

Attributions: FunctionalClusterDavid

FunctionalClusterDavid (1)

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This workflow takes a list of Entrez Gene IDs as input and submits them to the DAVID REST API for functional clustering using OG annotaiton, biological pathways and disease associations. Used for analysing a set of genes (i.e. those differentially expressed for a particular disease condition).

Created: 2014-09-05

Credits: Katy Wolstencroft

document clustering (1)

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Tesla Experiment Clustering wikipedia articles of different topics Evaluation of the results with the purity measure and rand index

Created: 2012-02-15 | Last updated: 2012-02-17

Credits: AGeduldig