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Mona Riemenschneider

Showing results (1-10 of 16) with videos related to

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Current HIV Research|March 22, 2016
Current Approaches in Computational Drug Resistance Prediction in HIVMona Riemenschneider, Dominik Heider
BMC Bioinformatics|August 24, 2016
SHIVA - a web application for drug resistance and tropism testing in HIVMona Riemenschneider, Thomas Hummel, Dominik Heider
Plos One|May 19, 2012
Evolutionary dynamics of co-segregating gene clusters associated with complex diseasesChristoph Preuss, Mona Riemenschneider, David Wiedmann, et al.
Bioinformatics (Oxford, England)|March 20, 2018
SCOTCH: subtype A coreceptor tropism classification in HIV-1Hannah F Löchel, Mona Riemenschneider, Dmitrij Frishman, et al.
BMC Bioinformatics|August 19, 2017
eccCL: parallelized GPU implementation of Ensemble Classifier ChainsMona Riemenschneider, Alexander Herbst, Ari Rasch, et al.
Biodata Mining|March 3, 2016
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classificationMona Riemenschneider, Robin Senge, Ursula Neumann, et al.
Plos One|February 4, 2015
Fetal-adult cardiac transcriptome analysis in rats with contrasting left ventricular mass reveals new candidates for cardiac hypertrophyKatja Grabowski, Mona Riemenschneider, Leonard Schulte, et al.
Biodata Mining|November 16, 2011
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiersJ Nikolaj Dybowski, Mona Riemenschneider, Sascha Hauke, et al.
Biodata Mining|November 29, 2016
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approachUrsula Neumann, Mona Riemenschneider, Jan-Peter Sowa, et al.
Neuroinformatics|March 29, 2014
MANIA-a pattern classification toolbox for neuroimaging dataDominik Grotegerd, Ronny Redlich, Jorge R C Almeida, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Current HIV Research|March 22, 2016
Current Approaches in Computational Drug Resistance Prediction in HIVMona Riemenschneider, Dominik Heider
BMC Bioinformatics|August 24, 2016
SHIVA - a web application for drug resistance and tropism testing in HIVMona Riemenschneider, Thomas Hummel, Dominik Heider
Plos One|May 19, 2012
Evolutionary dynamics of co-segregating gene clusters associated with complex diseasesChristoph Preuss, Mona Riemenschneider, David Wiedmann, et al.
Bioinformatics (Oxford, England)|March 20, 2018
SCOTCH: subtype A coreceptor tropism classification in HIV-1Hannah F Löchel, Mona Riemenschneider, Dmitrij Frishman, et al.
BMC Bioinformatics|August 19, 2017
eccCL: parallelized GPU implementation of Ensemble Classifier ChainsMona Riemenschneider, Alexander Herbst, Ari Rasch, et al.
Biodata Mining|March 3, 2016
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classificationMona Riemenschneider, Robin Senge, Ursula Neumann, et al.
Plos One|February 4, 2015
Fetal-adult cardiac transcriptome analysis in rats with contrasting left ventricular mass reveals new candidates for cardiac hypertrophyKatja Grabowski, Mona Riemenschneider, Leonard Schulte, et al.
Biodata Mining|November 16, 2011
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiersJ Nikolaj Dybowski, Mona Riemenschneider, Sascha Hauke, et al.
Biodata Mining|November 29, 2016
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approachUrsula Neumann, Mona Riemenschneider, Jan-Peter Sowa, et al.
Neuroinformatics|March 29, 2014
MANIA-a pattern classification toolbox for neuroimaging dataDominik Grotegerd, Ronny Redlich, Jorge R C Almeida, et al.
Pageof 2