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Nico Pfeifer

Showing results (21-30 of 91) with videos related to

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Scientific Reports|July 26, 2019
Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific FeaturesMatthias Döring, Christoph Kreer, Nathalie Lehnen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 3, 2007
Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detectionChristian Igel, Tobias Glasmachers, Britta Mersch, et al.
Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology|March 14, 2015
Effects of sequence alterations on results from genotypic tropism testingAlejandro Pironti, Saleta Sierra, Rolf Kaiser, et al.
Journal of the International AIDS Society|November 15, 2014
Improved therapy-success prediction with GSS estimated from clinical HIV-1 sequencesAlejandro Pironti, Nico Pfeifer, Rolf Kaiser, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation dataLisa Handl, Adrin Jalali, Michael Scherer, et al.
Bioinformatics (Oxford, England)|August 22, 2025
Privacy-Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation DataCem Ata Baykara, Ali Burak Ünal, Nico Pfeifer, et al.
BMC Bioinformatics|October 10, 2008
LC-MSsim--a simulation software for liquid chromatography mass spectrometry dataOle Schulz-Trieglaff, Nico Pfeifer, Clemens Gröpl, et al.
Nature Communications|December 9, 2025
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association StudiesArjhun Swaminathan, Anika Hannemann, Ali Burak Ünal, et al.
Bioinformatics (Oxford, England)|July 20, 2020
Identifying disease-causing mutations with privacy protectionMete Akgün, Ali Burak Ünal, Bekir Ergüner, et al.
Plos Computational Biology|March 6, 2023
Predicting functional effects of ion channel variants using new phenotypic machine learning methodsChristian Malte Boßelmann, Ulrike B S Hedrich, Holger Lerche, et al.
Pageof 10

Showing results (21-30 of 91) with videos related to

Sort By:
Pageof 10
Scientific Reports|July 26, 2019
Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific FeaturesMatthias Döring, Christoph Kreer, Nathalie Lehnen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 3, 2007
Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detectionChristian Igel, Tobias Glasmachers, Britta Mersch, et al.
Journal of Clinical Virology : the Official Publication of the Pan American Society for Clinical Virology|March 14, 2015
Effects of sequence alterations on results from genotypic tropism testingAlejandro Pironti, Saleta Sierra, Rolf Kaiser, et al.
Journal of the International AIDS Society|November 15, 2014
Improved therapy-success prediction with GSS estimated from clinical HIV-1 sequencesAlejandro Pironti, Nico Pfeifer, Rolf Kaiser, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation dataLisa Handl, Adrin Jalali, Michael Scherer, et al.
Bioinformatics (Oxford, England)|August 22, 2025
Privacy-Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation DataCem Ata Baykara, Ali Burak Ünal, Nico Pfeifer, et al.
BMC Bioinformatics|October 10, 2008
LC-MSsim--a simulation software for liquid chromatography mass spectrometry dataOle Schulz-Trieglaff, Nico Pfeifer, Clemens Gröpl, et al.
Nature Communications|December 9, 2025
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association StudiesArjhun Swaminathan, Anika Hannemann, Ali Burak Ünal, et al.
Bioinformatics (Oxford, England)|July 20, 2020
Identifying disease-causing mutations with privacy protectionMete Akgün, Ali Burak Ünal, Bekir Ergüner, et al.
Plos Computational Biology|March 6, 2023
Predicting functional effects of ion channel variants using new phenotypic machine learning methodsChristian Malte Boßelmann, Ulrike B S Hedrich, Holger Lerche, et al.
Pageof 10