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Kemal Sonmez - Machine Learning
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Kemal Sonmez

Machine Learning
Oregon Health and Science University Hospital • Portland • United States of America

Skills and expertise

Fields of interest
  • WES analysis
  • ChIP-seq analysis
  • Protein interaction analysis
Languages
  • English
Programming languages
  • C
  • Lisp
  • MATLAB
  • Perl
  • Python
  • R
  • Scala
  • Shell (Bash)
  • Wolfram

TOOLS MAINTAINED

Cloudbreak

Desktop

Cloudbreak

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Consists of a Hadoop/MapReduce software package for structural variations (SV) detection, for Illumina paired-end DNA sequencing data. Cloudbreak computes local features based on modeling the…

Fields of interest

WES analysis
Assists users with key gene identification in immune diseases. Gene Ranker is…
Compresses genome sequencing data. BdBG dispatches similar reads into the same…
Identifies variants and assigns lineage from Mycobacterium tuberculosis complex…
ChIP-seq analysis
Serves for regularized kernel methods, focusing especially on regularized…
Furnishes a solution for finding changes in gene networks and for aiding in the…
Consists of a motif discovery pipeline and similarity detector. MODSIDE is an…
Protein interaction analysis
Allows researchers to determine the magnetic and electronic properties of…
Serves for regularized kernel methods, focusing especially on regularized…
Furnishes a solution for finding changes in gene networks and for aiding in the…