BayGO pipeline

BayGO specifications


Unique identifier OMICS_18896
Name BayGO
Interface Web user interface
Restrictions to use None
Input data A list of genes.
Programming languages Perl, R
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Ricardo Vencio <>
  • person_outline Carlos Pereira <>
  • person_outline Tie Koide <>
  • person_outline Suely Gomes <>

Publication for BayGO

BayGO IN pipeline

PMCID: 3329418
PMID: 22300537
DOI: 10.1186/1471-2105-13-23

[…] test, which need to employ some type of smoothing (e.g., laplace or add one smoothing). bayesian methods that perform enrichment analysis using a prior probability distribution include mgsa and the baygo framework [26]. although these bayesian methods enable the enrichment analysis of sparse data, their lack of support for inter-instance relationships, non-hierarchical class relationships […]

BayGO institution(s)
BIOINFO-USP Núcleo de Pesquisas em Bioinformática, Universidade de São Paulo, São Paulo, Brazil; Instituto Israelita de Ensino e Pesquisa Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, Brazil; Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil; Departamento de Estatística, Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, Brazil
BayGO funding source(s)
Supported by a doctoral fellowship from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) and by Conselho Nacional de Desenvolvimento Cientí- fico e Tecnológico (CNPq).

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