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The Graphical Query Language: a tool for analysis of gene expression time-courses.

I. Costa, A. Schönhuth, and A. Schliep. Bioinformatics, 21 (10): 2544-2545 (2005)

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Vanessa Costalonga Martins University of Stuttgart

Towards Modular Natural Fiber-Reinforced Polymer ArchitectureS. Cutajar, V. Costalonga Martins, C. Hoven, P. Baszyński, and H. Dahy. Distributed Proximities : Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture, Volume I : Technical papers, keynote conversations, page 564-573. Philadelphia, Association for Computer Aided Design in Architecture (ACADIA), (2020)

G. Daiß

Ivan Solonenko University of Stuttgart

G. Wagner

Ivan Buntic University of Stuttgart

Other publications of authors with the same name

On the Complexity of Gene Marker Selection.A. Lorena, N. Spolaôr, I. Costa, and M. de Souto. SBRN, page 85-90. IEEE Computer Society, (2010)Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information.I. Costa, M. de Souto, and A. Schliep. BSB, volume 4643 of Lecture Notes in Computer Science, page 81-92. Springer, (2007)Detection of active transcription factor binding sites with the combination of DNase hypersensitivity and histone modifications.E. Gusmão, C. Dieterich, M. Zenke, and I. Costa. Bioinformatics, 30 (22): 3143-3151 (2014)Analysis of complexity indices for classification problems: Cancer gene expression data.A. Lorena, I. Costa, N. Spolaôr, and M. de Souto. Neurocomputing, 75 (1): 33-42 (2012)Data complexity meta-features for regression problems.A. Lorena, A. Maciel, P. de Miranda, I. Costa, and R. Prudêncio. Machine Learning, 107 (1): 209-246 (2018)Comparative study on proximity indices for cluster analysis of gene expression time series.I. Costa, F. de A. T. de Carvalho, and M. de Souto. Journal of Intelligent and Fuzzy Systems, 13 (2-4): 133-142 (2002)Inferring differentiation pathways from gene expression.I. Costa, S. Roepcke, C. Hafemeister, and A. Schliep. ISMB, page 156-164. (2008)A Symbolic Approach to Gene Expression Time Series Analysis.I. Costa, F. de A. T. de Carvalho, and M. de Souto. SBRN, page 25-30. IEEE Computer Society, (2002)Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.V. Filho, I. Costa, J. Oliveira, and F. de A. T. de Carvalho. SBRN, page 61-66. IEEE Computer Society, (2012)Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data.I. Costa, R. Krause, L. Opitz, and A. Schliep. BMC Bioinformatics, (2007)