Ivan G. Costa

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 14

Top Topics

Gene Expression

Regression Problems

Multiple Kernel

Top Venues

Publications

David L. Hölscher, Michael Goedertier, Barbara Mara Klinkhammer, Patrick Droste, Ivan G. Costa, Peter Boor, Roman David Bülow
tRigon: an R package and Shiny App for integrative (path-)omics data analysis. BMC Bioinform. 25 (1) (2024)
James Shiniti Nagai, Ivan G. Costa, Michael T. Schaub
Optimal Transport Distances for Directed, Weighted Graphs: A Case Study With Cell-Cell Communication Networks. ICASSP (2024)
James Shiniti Nagai, Ivan G. Costa, Michael T. Schaub
Optimal transport distances for directed, weighted graphs: a case study with cell-cell communication networks. CoRR (2023)
Zhijian Li, Chao-Chung Kuo, Fabio Ticconi, Mina Shaigan, Julia Gehrmann, Eduardo G. Gusmão, Manuel Allhoff, Martin Manolov, Martin Zenke, Ivan G. Costa
RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data. BMC Bioinform. 24 (1) (2023)
Pablo A. Jaskowiak, Ivan G. Costa, Ricardo J. G. B. Campello
The area under the ROC curve as a measure of clustering quality. Data Min. Knowl. Discov. 36 (3) (2022)
Ronghui Li, Bella Banjanin, Rebekka K. Schneider, Ivan G. Costa
Detection of cell markers from single cell RNA-seq with sc2marker. BMC Bioinform. 23 (1) (2022)
Md. Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G. Costa, Dietrich Rebholz-Schuhmann, Michael Cochez, Stefan Decker
Deep learning-based clustering approaches for bioinformatics. Briefings Bioinform. 22 (1) (2021)
James S. Nagai, Nils B. Leimkühler, Michael T. Schaub, Rebekka K. Schneider, Ivan G. Costa
CrossTalkeR: analysis and visualization of ligand-receptorne tworks. Bioinform. 37 (22) (2021)
Md. Rezaul Karim, Galih Wicaksono, Ivan G. Costa, Stefan Decker, Oya Beyan
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data. IEEE Access 7 (2019)
Ana Carolina Lorena, Aron I. Maciel, Péricles B. C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio
Data complexity meta-features for regression problems. Mach. Learn. 107 (1) (2018)
Aron I. Maciel, Ivan G. Costa, Ana Carolina Lorena
Measuring the complexity of regression problems. IJCNN (2016)
André C. A. Nascimento, Ricardo B. C. Prudêncio, Ivan G. Costa
A multiple kernel learning algorithm for drug-target interaction prediction. BMC Bioinform. 17 (2016)
Manuel Allhoff, Kristin Seré, Heike Chauvistré, Qiong Lin, Martin Zenke, Ivan G. Costa
Detecting differential peaks in ChIP-seq signals with ODIN. Bioinform. 31 (6) (2015)
Marcílio Carlos Pereira de Souto, Pablo A. Jaskowiak, Ivan G. Costa
Impact of missing data imputation methods on gene expression clustering and classification. BMC Bioinform. 16 (2015)
Eduardo G. Gusmão, Christoph Dieterich, Martin Zenke, Ivan G. Costa
Detection of active transcription factor binding sites with the combination of DNase hypersensitivity and histone modifications. Bioinform. 30 (22) (2014)
Manuel Allhoff, Kristin Seré, Heike Chauvistré, Qiong Lin, Martin Zenke, Ivan G. Costa
Detecting differential peaks in ChIP-seq signals with ODIN. Bioinform. 30 (24) (2014)
Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa
On the selection of appropriate distances for gene expression data clustering. BMC Bioinform. 15 (S-2) (2014)
Manuel Allhoff, Alexander Schönhuth, Marcel Martin, Ivan G. Costa, Sven Rahmann, Tobias Marschall
Discovering motifs that induce sequencing errors. BMC Bioinform. 14 (S-5) (2013)
Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa
Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (4) (2013)
Gilderlanio S. Araújo, Manuela R. B. Souza, João Ricardo M. Oliveira, Ivan G. Costa
Random Forest and Gene Networks for Association of SNPs to Alzheimer's Disease. BSB (2013)
Valmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization. SBRN (2012)
Tobias Marschall, Ivan G. Costa, Stefan Canzar, Markus Bauer, Gunnar W. Klau, Alexander Schliep, Alexander Schönhuth
CLEVER: clique-enumerating variant finder. Bioinform. 28 (22) (2012)
Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa
Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer. BSB (2012)
Eduardo G. Gusmão, Christoph Dieterich, Ivan G. Costa
Prediction of Transcription Factor Binding Sites by Integrating DNase Digestion and Histone Modification. BSB (2012)
Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, Marcílio Carlos Pereira de Souto
Analysis of complexity indices for classification problems: Cancer gene expression data. Neurocomputing 75 (1) (2012)
Thaís Gaudencio do Rêgo, Helge G. Roider, Francisco de A. T. de Carvalho, Ivan G. Costa
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models. Bioinform. 28 (18) (2012)
Marcilio C. P. de Souto, André L. V. Coelho, Katti Faceli, Tiemi C. Sakata, Viviane Bonadia, Ivan G. Costa
A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets. SBRN (2012)
Christoph Hafemeister, Ivan G. Costa, Alexander Schönhuth, Alexander Schliep
Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions. Bioinform. 27 (7) (2011)
Henning Redestig, Ivan G. Costa
Detection and interpretation of metabolite-transcript coresponses using combined profiling data. Bioinform. 27 (13) (2011)
Ruben Schilling, Ivan G. Costa, Alexander Schliep
pGQL: A probabilistic graphical query language for gene expression time courses. BioData Min. 4 (2011)
Ivan G. Costa, Helge G. Roider, Thaís Gaudencio do Rêgo, Francisco de A. T. de Carvalho
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models. BMC Bioinform. 12 (S-1) (2011)
Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. de Souto
On the Complexity of Gene Marker Selection. SBRN (2010)
Clerton Ribeiro, Francisco de Assis Tenório de Carvalho, Ivan G. Costa
Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data. BSB (2010)
Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, Marcílio Carlos Pereira de Souto
Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. BSB (2009)
Ivan G. Costa, Alexander Schönhuth, Christoph Hafemeister, Alexander Schliep
Constrained mixture estimation for analysis and robust classification of clinical time series. Bioinform. 25 (12) (2009)
André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. ICANN (2) (2009)
Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep
Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN (2008)
Ivan G. Costa, Stefan Roepcke, Christoph Hafemeister, Alexander Schliep
Inferring differentiation pathways from gene expression. ISMB (2008)
Ana Carolina Lorena, Ivan G. Costa, Marcílio Carlos Pereira de Souto
On the Complexity of Gene Expression Classification Data Sets. HIS (2008)
Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep
Clustering cancer gene expression data: a comparative study. BMC Bioinform. 9 (2008)
Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep
Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN (2008)
Ivan G. Costa, Marcílio Carlos Pereira de Souto, Alexander Schliep
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. BSB (2007)
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexander Schliep
image data. BMC Bioinform. 8 (S-10) (2007)
Alexander Schliep, Ivan G. Costa, Christine Steinhoff, Alexander Schönhuth
Analyzing Gene Expression Time-Courses. IEEE ACM Trans. Comput. Biol. Bioinform. 2 (3) (2005)
Ivan G. Costa, Alexander Schönhuth, Alexander Schliep
The Graphical Query Language: a tool for analysis of gene expression time-courses. Bioinform. 21 (10) (2005)
Ivan G. Costa, Alexander Schliep
On External Indices for Mixtures: Validating Mixtures of Genes. GfKl (2005)
Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data. WOB (2002)
Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
Comparative study on proximity indices for cluster analysis of gene expression time series. J. Intell. Fuzzy Syst. 13 (2-4) (2002)
Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
A Symbolic Approach to Gene Expression Time Series Analysis. SBRN (2002)