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Genomic Region Operation Kit for Flexible Processing of Deep Sequencing Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Kristian Ovaska,Lauri Lyly,Biswajyoti Sahu,Olli A. Janne,Sampsa Hautaniemi
Issue Date:January 2013
pp. 200-206
Computational analysis of data produced in deep sequencing (DS) experiments is challenging due to large data volumes and requirements for flexible analysis approaches. Here, we present a mathematical formalism based on set algebra for frequently performed ...
 
Jointly Analyzing Gene Expression and Copy Number Data in Breast Cancer Using Data Reduction Models
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By John A. Berger, Sampsa Hautaniemi, Sanjit K. Mitra, Jaakko Astola
Issue Date:January 2006
pp. 2-16
With the growing surge of biological measurements, the problem of integrating and analyzing different types of genomic measurements has become an immediate challenge for elucidating events at the molecular level. In order to address the problem of integrat...
 
Comparative Analysis of Gene Expression and DNA Copy Number Data for Pancreatic and Breast Cancers Using an Orthogonal Decomposition
Found in: Computational Systems Bioinformatics Conference, International IEEE Computer Society
By John A. Berger, Sampsa Hautaniemi, Sanjit K. Mitra
Issue Date:August 2004
pp. 584-585
The causes of over-expression for many diseases are typically unknown, but current studies show that copy number aberrations may be strong candidates for driving gene over-expression. We present the use of the generalized singular value decomposition (GSVD...
   
Genomic Region Operation Kit for Flexible Processing of Deep Sequencing Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Biswajyoti Sahu, Kristian Ovaska, Lauri Lyly, Olli A. Janne, Sampsa Hautaniemi
Issue Date:January 2013
pp. 200-206
Computational analysis of data produced in deep sequencing (DS) experiments is challenging due to large data volumes and requirements for flexible analysis approaches. Here, we present a mathematical formalism based on set algebra for frequently performed ...
     
Jointly Analyzing Gene Expression and Copy Number Data in Breast Cancer Using Data Reduction Models
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Jaakko Astola, John A. Berger, Sampsa Hautaniemi, Sanjit K. Mitra
Issue Date:January 2006
pp. 2
With the growing surge of biological measurements, the problem of integrating and analyzing different types of genomic measurements has become an immediate challenge for elucidating events at the molecular level. In order to address the problem of integrat...
     
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