Ivan G Costa

Summary

Affiliation: Universidade Federal de Pernambuco
Country: Brazil

Publications

  1. pmc pGQL: A probabilistic graphical query language for gene expression time courses
    Ruben Schilling
    Max Planck Institute for Molecular Genetics, Department of Computational Biology, Ihnestr, 63 73, 14195 Berlin, Germany
    BioData Min 4:9. 2011
  2. pmc PyMix--the python mixture package--a tool for clustering of heterogeneous biological data
    Benjamin Georgi
    Max Planck Institute for Molecular Genetics, Dept, of Computational Molecular Biology, Ihnestrasse 73, 14195 Berlin
    BMC Bioinformatics 11:9. 2010
  3. pmc Constrained mixture estimation for analysis and robust classification of clinical time series
    Ivan G Costa
    Center of Informatics, Federal University of Pernambuco, Recife, Brazil
    Bioinformatics 25:i6-14. 2009
  4. pmc Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models
    Ivan G Costa
    Center of Informatics, Federal University of Pernambuco, Recife, Brazil
    BMC Bioinformatics 12:S29. 2011
  5. doi request reprint Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models
    Thais G do Rego
    Center of Informatics, Federal University of Pernambuco, Recife 50740 560, Brazil
    Bioinformatics 28:2297-303. 2012

Collaborators

Detail Information

Publications5

  1. pmc pGQL: A probabilistic graphical query language for gene expression time courses
    Ruben Schilling
    Max Planck Institute for Molecular Genetics, Department of Computational Biology, Ihnestr, 63 73, 14195 Berlin, Germany
    BioData Min 4:9. 2011
    ..abstract:..
  2. pmc PyMix--the python mixture package--a tool for clustering of heterogeneous biological data
    Benjamin Georgi
    Max Planck Institute for Molecular Genetics, Dept, of Computational Molecular Biology, Ihnestrasse 73, 14195 Berlin
    BMC Bioinformatics 11:9. 2010
    ..This makes clustering challenging. Mixtures are versatile and powerful statistical models which perform robustly for clustering in the presence of noise and have been successfully applied in a wide range of applications...
  3. pmc Constrained mixture estimation for analysis and robust classification of clinical time series
    Ivan G Costa
    Center of Informatics, Federal University of Pernambuco, Recife, Brazil
    Bioinformatics 25:i6-14. 2009
    ..Half of the patients remain unaffected by IFNbeta treatment, which is still the standard. For them the treatment should be timely ceased to mitigate the side effects...
  4. pmc Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models
    Ivan G Costa
    Center of Informatics, Federal University of Pernambuco, Recife, Brazil
    BMC Bioinformatics 12:S29. 2011
    ..Moreover, it recovered the known role of the modifications H3K4me3 and H3K27me3 in activating cell specific genes and of some transcription factors related to CD4+ T differentiation...
  5. doi request reprint Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models
    Thais G do Rego
    Center of Informatics, Federal University of Pernambuco, Recife 50740 560, Brazil
    Bioinformatics 28:2297-303. 2012
    ..To shed light on the interplay between histone marks and TFs during blood cell development, we model gene expression from regulatory signals by means of combinations of sparse linear regression models...