2009 StReBio09ProceedingsoftheKDD09W

(Florencio et al., 2009) ⇒ Christophe Costa Florencio, Fabrizio Costa, Jan Ramon, and Joost N. Kok. (2009). “StReBio '09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics.”. ACM 2009. ISBN:978-1-60558-667-0

Subject Headings: Relatioaal Learning; KDD-2009 Proceedings; StReBio KDD'09 Workshop, ACM SIGMOD, ACM SIGKDD.

Notes

Cited By

ACM DL: ~ 12 Citations.

Quotes

Abstract

The KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics (StReBio) will be held at the University of Antwerp, Paris, France]], on Sunday June, 28th, 2009. This second edition of the workshop is intended to bring together researchers from both the fields of statistical and relational learning and the field of bioinformatics. Hopefully this will contribute to communication between these communities and will stimulate the development of new relational techniques for application in the biological domain. Bioinformatics is a domain where information is naturally represented in terms of relations between heterogeneous objects. Modern experimentation and data acquisition techniques make the study of complex interactions in biological systems possible, yielding huge amounts of data. This raises challenges for the machine learning and data mining communities, where interest in relational and statistical learning has been growing in the last few years. Apart from the amount of (relational) data, the information is often incomplete, and measurements may be noisy, creating additional challenges. We have tried to choose a workshop format which promotes as much as possible the exchange of ideas. Aspects which can help to achieve our goal are the problem statement presentations, the time allocated in the program for question]]s and discussion, the informal proceedings and the workshop website (http://www.cs.kuleuven.be/~dtai/events/StReBio09/) where the abstracts, papers and some presentations will be available. We selected eight papers for full presentation. All these contributions, in varying degrees, fit the format of the workshop: they apply statistical or relational techniques to problems from the biological domain. Furthermore, we accepted one problem statement to be presented at the workshop. The idea of the problem statement track is to stimulate the interaction between biologists and computer scientists by presenting biological problems in a more mathematical form, making the structure and the source of uncertainty of the data more explicit. We hope that the problem statements will lead to lively discussions and the exchange of ideas. Finally, a tentative solution to a problem statement from last year's edition is presented. We feel honoured to have David Balding and as invited speaker, who is an authority in the field of statistical genetics.

Research-Articles

(Arevalillo & Navarro, 2009) ⇒ Jorge M. Arevalillo, and Hilario Navarro (2009)."Using Random Forests To Uncover Bivariate Interactions In High Dimensional Small Data Sets". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562091.
(Cheng et al., 2009) ⇒ Tammy M. K. Cheng, Yu-En Lu, and Pietro Lio (2009)."Identification Of Structurally Important Amino Acids In Proteins By Graph-Theoretic Measures". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562092
(Hamalainen, 2009) ⇒ Wilhelmiina Hamalainen (2009)."Lift-Based Search For Significant Dependencies In Dense Data Sets". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562093
(Keselj et al., 2009) ⇒ Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, and Chris Whidden (2009)."Finding Optimal Parameters For Edit Distance Based Sequence Classification Is Np-Hard". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562094
(Lodhi et al., 2009) ⇒ Huma Lodhi, Stephen Muggleton, and Michael J. E. Sternberg (2009)."Multi-Class Protein Fold Recognition Using Large Margin Logic Based Divide And Conquer Learning.” In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562095
(Midic et al., 2009) ⇒ Uros Midic, A. Keith Dunker, and Zoran Obradovic (2009)."Protein Sequence Alignment And Structural Disorder: A Substitution Matrix For An Extended Alphabet". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562096
(Ramon & Costa, 2009) ⇒ Jan Ramon, and Fabrizio Costa (2009)."Handling Missing Values And Censored Data In Pca Of Pharmacological Matrices". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562097
(Saidi et al., 2009) ⇒ Rabie Saidi, Mondher Maddouri, Engelbert Mephu Nguifo (2009). “Comparing Graph-Based Representations Of Protein For Mining Purposes". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562098
(Shanahan, 2009) ⇒ Hugh P. Shanahan (2009). “Can We Improve On The Identification Of Transcription Factor Binding Sites?". In: StReBio09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics. DOI:10.1145/1562090.1562099

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2009 StReBio09ProceedingsoftheKDD09W	Jan Ramon Fabrizio Costa Joost N. Kok Christophe Costa Florencio			StReBio '09: Proceedings of the KDD-09 Workshop on Statistical and Relational Learning in Bioinformatics						2009