Ivan G. Costa
Orcid: 0000-0003-2890-8697
According to our database1,
Ivan G. Costa
authored at least 50 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
BMC Bioinform., December, 2024
2023
RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data.
BMC Bioinform., December, 2023
Optimal transport distances for directed, weighted graphs: a case study with cell-cell communication networks.
CoRR, 2023
2022
Data Min. Knowl. Discov., 2022
BMC Bioinform., 2022
2021
Bioinform., November, 2021
Briefings Bioinform., 2021
2019
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data.
IEEE Access, 2019
2018
2016
BMC Bioinform., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Impact of missing data imputation methods on gene expression clustering and classification.
BMC Bioinform., 2015
2014
BMC Bioinform., 2014
Detection of active transcription factor binding sites with the combination of DNase hypersensitivity and histone modifications.
Bioinform., 2014
2013
Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Proceedings of the Advances in Bioinformatics and Computational Biology, 2013
2012
Analysis of complexity indices for classification problems: Cancer gene expression data.
Neurocomputing, 2012
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models.
Bioinform., 2012
Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012
Prediction of Transcription Factor Binding Sites by Integrating DNase Digestion and Histone Modification.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012
A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
2011
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models.
BMC Bioinform., 2011
Detection and interpretation of metabolite-transcript coresponses using combined profiling data.
Bioinform., 2011
Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions.
Bioinform., 2011
BioData Min., 2011
2010
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data.
BMC Bioinform., 2010
Proceedings of the Advances in Bioinformatics and Computational Biology, 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Constrained mixture estimation for analysis and robust classification of clinical time series.
Bioinform., 2009
Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2009
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.
Proceedings of the Artificial Neural Networks, 2009
2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Comparative study on normalization procedures for cluster analysis of gene expression datasets.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2007
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and <i>in situ </i>image data.
BMC Bioinform., 2007
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007
2005
IEEE ACM Trans. Comput. Biol. Bioinform., 2005
Bioinform., 2005
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005
2002
Comparative study on proximity indices for cluster analysis of gene expression time series.
J. Intell. Fuzzy Syst., 2002
Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002