Rezarta Islamaj - University of Maryland, College Park

University of Maryland, College Park
Computer Science Department

Rezarta Islamaj

University of Maryland, College Park
Computer Science Department
A.V Williams Building
College Park, MD 20742

email: rezarta AT cs.umd.edu

My advisor is Lise Getoor, and I am a member of the Machine Learning Research Group LINQS.
My doctoral research is conducted at NCBI, National Institutes of Health, and my advisor is John Wilbur.

Education

Research

Publications and Talks

Research Interests

I am interested in applying machine learning and data mining approaches to computational biology problems. My research is focused on constructing, selecting and discovering appropriate motifs to model biological signals for accurate classification and prediction.

Education

PhD, Computer Science, 2007
University of Maryland, College Park, MD
M.Sc., Computer Science, 2003
University of Maryland, College Park, MD
B.S., Computer Engineering, 2000
Bosphorous University Istanbul, TURKEY

Research

feature generation

SplicePort

Publications

Characterizing RNA secondary-structure features and their effects on splice-site prediction
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur
IEEE ICDM Workshop on Mining and Management of Biological Data, 2007. pdf
Features Generated for Computational Splice-Site Prediction Correspond to Functional Elements
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur and Stephen M. Mount
BMC Bioinformatics, 2007. BMC-link pdf
SplicePort: An Interactive Splice-Site Analysis Tool
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur and Stephen M. Mount
Nucleic Acids Research, 2007.NAR-link pdf
A Feature Generation Algorithm with Applications to Biological Sequence Classification
Rezarta Islamaj Dogan, Lise Getoor and W. John Wilbur
Chapter in Computational Methods of Feature Selection, Huan Liu and Hiroshi Motoda editors, 2007.
Structural footprinting in protein structure comparison: The impact of structural fragments.
Elena Zotenko, Rezarta Islamaj, W. John Wilbur, Diane P. O'Leary and Teresa M. Przytycka
BMC Structural Biology, 2007.BMC-link
Feature Generation Algorithm: Application to Splice-Site Prediction
Rezarta Islamaj, Lise Getoor and W. John Wilbur
Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases , Berlin, Germany (September 2006). pdf
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction
Rezarta Islamaj, Lise Getoor and W. John Wilbur
International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics, Bethesda, Maryland (April 2006) pdf
Three Dimensional Representation of Amino Acid Characteristics
Rezarta Islamaj, Ugur Sezerman and Ethem Alpaydin
23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey (October 2001). pdf

Talks and Presentations

Analysis of Splicing Motifs (invited talk)
Splicing Regulator Motifs Workshop, Erlangen, Germany (September 2006)
The Proximity Effect on Feature Construction for Splice-Site Finding
NIH Graduate Student Research Symposium, Bethesda, Maryland (May 2006)
A Machine Learning Solution for Splice-Site Prediction
TASSA(Turkish American Scientists and Scholars Association) Philadelphia, PA (March 2006)
Feature Generation for Sequences with Application to Splice-Site Prediction
NIH Research Festival, Bethesda, Maryland (October 2005)
Finding Acceptor Splice Sites with AdaBoost
NIH Second Annual Graduate Student Research Symposium, Bethesda, Maryland (April 2005)
Classification of Acceptor Splice Sites Using AdaBoost with Decision Trees
16th Annual Genomic Sequencing and Analysis Conference Washington DC, (September 2004)
Identification of Internal Coding Regions in mRNA Sequences
NIH First Annual Graduate Student Research Symposium , Bethesda, Maryland (April 2004)

Honors and Awards

Useful

Google

Affordable Calling

Songs and Rhymes