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Uros Petrovic

dblp:77/4557 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-9743-9145ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
functional genomics		 0.112005
VizRank: finding informative data projections in functional genomics by machine learning · Bioinform. 2005
Bioinformatics and computational biology › gene expression analysis
microarray data analysis		 0.112005
Microarray data mining with visual programming · Bioinform. 2005
Visualization and visual analytics
dimensionality reduction		 0.012005
VizRank: finding informative data projections in functional genomics by machine learning · Bioinform. 2005

Methods — techniques the papers use, named apart from their topics

projection ranking · 0.1machine learning · 0.1visualization · 0.1data flow · 0.1
YearPublicationVenuePosition
2005 Microarray data mining with visual programming
abstract
UNLABELLED: 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 SUPPLEMENTARY INFORMATION: http://www.ailab.si/supp/bi-visprog.
Tomaz Curk, Janez Demsar, Qikai Xu, Gregor Leban, Uros Petrovic, Ivan Bratko, Gad Shaulsky, Blaz Zupan
 Bioinform.5
2005 VizRank: finding informative data projections in functional genomics by machine learning
abstract
UNLABELLED: VizRank is a tool that finds interesting two-dimensional projections of class-labeled data. When applied to multi-dimensional functional genomics datasets, VizRank can systematically find relevant biological patterns. AVAILABILITY: http://www.ailab.si/supp/bi-vizrank SUPPLEMENTARY INFORMATION: http://www.ailab.si/supp/bi-vizrank.
Gregor Leban, Ivan Bratko, Uros Petrovic, Tomaz Curk, Blaz Zupan
 Bioinform.3