GEDAS ‐ Gene Expression Data Analysis Suite

Currently available micro-array gene expression data analysis tools lack standardization at various levels. We developed GEDAS (gene expression data analysis suite) to bring various tools and techniques in one system. It also provides a number of other features such as a large collection of distance...

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Detalles Bibliográficos
Autores principales: Prasad, Tangirala Venkateswara, Babu, Ravindra Pentela, Ahson, Syed Ismail
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2006
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891661/
https://www.ncbi.nlm.nih.gov/pubmed/17597861
Descripción
Sumario:Currently available micro-array gene expression data analysis tools lack standardization at various levels. We developed GEDAS (gene expression data analysis suite) to bring various tools and techniques in one system. It also provides a number of other features such as a large collection of distance measures and pre-processing techniques. The software is an extension of Cluster 3.0 (developed based on Eisen Lab's Cluster and Tree View software). GEDAS allows the usage of different datasets with algorithms such as k-means, HC, SVD/PCA and SVM, in addition to Kohonen's SOM and LVQ. AVAILABILITY: http://gedas.bizhat.com/gedas.htm

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