dc.creatorButti, Matías A.
dc.creatorChanfreau, Hernán
dc.creatorMartinez, Diego
dc.creatorGarcía, D.
dc.creatorLacunza, Ezequiel
dc.creatorAbba, Martín Carlos
dc.date2014
dc.date2019-11-04T17:25:53Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/84861
dc.identifierissn:1367-4803
dc.descriptionDevelopment of effective tools such as oligo-microarrays and next-generation sequencing methods for monitoring gene expression on a large scale has resulted in the discovery of gene signatures with prognostic/ predictive value in various malignant neoplastic diseases. However, with the exponential growth of gene expression databases, biologists are faced with the challenge of extracting useful information from these repositories. Here, we present a software package, BioPlat (Biomarkers Platform), which allows biologists to identify novel prognostic and predictive cancer biomarkers based on the data mining of gene expression signatures and gene expression profiling databases. BioPlat has been designed as an easy-to-use and flexible desktop software application, which provides a set of analytical tools related to data extraction, preprocessing, filtering, gene expression signature calculation, in silico validation, feature selection and annotation that leverage the integration and reuse of gene expression signatures in the context of follow-up data.
dc.descriptionCentro de Investigación y Desarrollo en Ciencias Aplicadas
dc.formatapplication/pdf
dc.format1782-1784
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Médicas
dc.subjectgene signatures
dc.subjectpublicly available gene expression
dc.titleBioPlat: A software for human cancer biomarker discovery
dc.typeArticulo
dc.typeArticulo


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