Borut Peterlin

According to our database1, Borut Peterlin authored at least 15 papers between 2000 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2018
Towards using Literature-based Discovery for Interpretation of Next Generation Sequencing Results.
Proceedings of the AMIA 2018, 2018

2017
Telegenetics: an Update on Availability and Use of Telemedicine in Clinical Genetics Service.
J. Medical Syst., 2017

2011
Positional integratomic approach in identification of genomic candidate regions for Parkinson's disease.
Bioinform., 2011

2010
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data.
Expert Syst. Appl., 2010

Chi-square-based scoring function for categorization of MEDLINE citations
CoRR, 2010

2009
Semantic Relations for Interpreting DNA Microarray Data.
Proceedings of the AMIA 2009, 2009

2008
Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

2007
Literature Based Discovery Support System and Its Application to Disease Gene Identification.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006
Exploiting Semantic Relations for Literature-Based Discovery.
Proceedings of the AMIA 2006, 2006

2005
Using literature-based discovery to identify disease candidate genes.
Int. J. Medical Informatics, 2005

2003
Improving Literature Based Discovery Support by Genetic Knowledge Integration.
Proceedings of the New Navigators: from Professionals to Patients, 2003

2001
Supporting Discovery in Medicine by Association Rule Mining in Medline and UMLS.
Proceedings of the MEDINFO 2001, 2001

Literature-based Discovery Support System and Its Application to Disease Gene Identification.
Proceedings of the AMIA 2001, 2001

2000
Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Using data mining and OLAP to discover patterns in a database of patients with Y-chromosome deletions.
Proceedings of the AMIA 2000, 2000


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