BioPlat: A software for human cancer biomarker discovery

Development 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 g...

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Autores principales: Butti, Matías A., Chanfreau, Hernán, Martinez, Diego, García, D., Lacunza, Ezequiel, Abba, Martín Carlos
Formato: Articulo
Lenguaje:Inglés
Publicado: 2014
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/84861
Aporte de:
id I19-R120-10915-84861
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Médicas
gene signatures
publicly available gene expression
spellingShingle Ciencias Médicas
gene signatures
publicly available gene expression
Butti, Matías A.
Chanfreau, Hernán
Martinez, Diego
García, D.
Lacunza, Ezequiel
Abba, Martín Carlos
BioPlat: A software for human cancer biomarker discovery
topic_facet Ciencias Médicas
gene signatures
publicly available gene expression
description Development 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.
format Articulo
Articulo
author Butti, Matías A.
Chanfreau, Hernán
Martinez, Diego
García, D.
Lacunza, Ezequiel
Abba, Martín Carlos
author_facet Butti, Matías A.
Chanfreau, Hernán
Martinez, Diego
García, D.
Lacunza, Ezequiel
Abba, Martín Carlos
author_sort Butti, Matías A.
title BioPlat: A software for human cancer biomarker discovery
title_short BioPlat: A software for human cancer biomarker discovery
title_full BioPlat: A software for human cancer biomarker discovery
title_fullStr BioPlat: A software for human cancer biomarker discovery
title_full_unstemmed BioPlat: A software for human cancer biomarker discovery
title_sort bioplat: a software for human cancer biomarker discovery
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/84861
work_keys_str_mv AT buttimatiasa bioplatasoftwareforhumancancerbiomarkerdiscovery
AT chanfreauhernan bioplatasoftwareforhumancancerbiomarkerdiscovery
AT martinezdiego bioplatasoftwareforhumancancerbiomarkerdiscovery
AT garciad bioplatasoftwareforhumancancerbiomarkerdiscovery
AT lacunzaezequiel bioplatasoftwareforhumancancerbiomarkerdiscovery
AT abbamartincarlos bioplatasoftwareforhumancancerbiomarkerdiscovery
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