Microarray data mining with visual programming

Authors:
Tomaz Curk;Janez Demsar;Qikai Xu;Gregor Leban;Uros Petrovic;Ivan Bratko;Gad Shaulsky;Blaz Zupan
Affiliations:
Faculty of Computer and Information Science, University of Ljubljana Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana Ljubljana, Slovenia;Department of Molecular and Human Genetics, Baylor College of Medicine Houston, TX 77030, USA;Faculty of Computer and Information Science, University of Ljubljana Ljubljana, Slovenia;Jozef Stefan Institute Ljubljana, Slovenia;Faculty of Computer and Information Science, University of Ljubljana Ljubljana, Slovenia;Department of Molecular and Human Genetics, Baylor College of Medicine Houston, TX 77030, USA;Faculty of Computer and Information Science, University of Ljubljana Ljubljana, Slovenia
Venue:
Bioinformatics
Year:
2005

Citing 0
Cited 9

Review Article: Workflow based framework for life science informatics

Computational Biology and Chemistry
Methodological Review: Towards knowledge-based gene expression data mining

Journal of Biomedical Informatics
Gene expression analysis of leukemia samples using visual interpretation of small ensembles: a case study

PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
A data mining library for miRNA annotation and analysis

AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Evolving data sets to highlight the performance differences between machine learning classifiers

Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Sampling minimal frequent boolean (DNF) patterns

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Goldenberry: EDA visual programming in orange

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Machine-learning-based circuit synthesis

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Quantified Score

Hi-index	3.84

Visualization

Abstract

Summary: Visual programming offers an intuitive means of combining known analysis and visualization methods into powerful applications. The system presented here enables users who are not programmers to manage microarray and genomic data flow and to customize their analyses by combining common data analysis tools to fit their needs. Availability: http://www.ailab.si/supp/bi-visprog Contact: blaz.zupan@fri.uni-lj.si Supplementary information: http://www.ailab.si/supp/bi-visprog