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Ivo Grosse

Showing results (1-10 of 102) with videos related to

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Bioinformatics (Oxford, England)|March 27, 2015
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in RJan Grau, Ivo Grosse, Jens Keilwagen
Bioinformatics (Oxford, England)|December 31, 2016
InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sitesRalf Eggeling, Ivo Grosse, Jan Grau
Plos One|March 22, 2014
Area under precision-recall curves for weighted and unweighted dataJens Keilwagen, Ivo Grosse, Jan Grau
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 3, 2004
Extreme value distribution based gene selection criteria for discriminant microarray data analysis using logistic regressionWentian Li, Fengzhu Sun, Ivo Grosse
Nucleic Acids Research|March 30, 2021
Taxonomic analysis of metagenomic data with kASASilvio Weging, Andreas Gogol-Döring, Ivo Grosse
BMC Genomics|May 12, 2016
Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species informationMartin Nettling, Hendrik Treutler, Jesus Cerquides, et al.
BMC Bioinformatics|November 11, 2015
Inferring intra-motif dependencies of DNA binding sites from ChIP-seq dataRalf Eggeling, Teemu Roos, Petri Myllymäki, et al.
Nucleic Acids Research|September 24, 2013
A general approach for discriminative de novo motif discovery from high-throughput dataJan Grau, Stefan Posch, Ivo Grosse, et al.
Frontiers in Bioengineering and Biotechnology|October 7, 2015
Joint Analysis of Dependent Features within Compound Spectra Can Improve Detection of Differential FeaturesDiana Trutschel, Stephan Schmidt, Ivo Grosse, et al.
BMC Bioinformatics|March 3, 2017
Combining phylogenetic footprinting with motif models incorporating intra-motif dependenciesMartin Nettling, Hendrik Treutler, Jesus Cerquides, et al.
Pageof 11

Showing results (1-10 of 102) with videos related to

Sort By:
Pageof 11
Bioinformatics (Oxford, England)|March 27, 2015
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in RJan Grau, Ivo Grosse, Jens Keilwagen
Bioinformatics (Oxford, England)|December 31, 2016
InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sitesRalf Eggeling, Ivo Grosse, Jan Grau
Plos One|March 22, 2014
Area under precision-recall curves for weighted and unweighted dataJens Keilwagen, Ivo Grosse, Jan Grau
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 3, 2004
Extreme value distribution based gene selection criteria for discriminant microarray data analysis using logistic regressionWentian Li, Fengzhu Sun, Ivo Grosse
Nucleic Acids Research|March 30, 2021
Taxonomic analysis of metagenomic data with kASASilvio Weging, Andreas Gogol-Döring, Ivo Grosse
BMC Genomics|May 12, 2016
Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species informationMartin Nettling, Hendrik Treutler, Jesus Cerquides, et al.
BMC Bioinformatics|November 11, 2015
Inferring intra-motif dependencies of DNA binding sites from ChIP-seq dataRalf Eggeling, Teemu Roos, Petri Myllymäki, et al.
Nucleic Acids Research|September 24, 2013
A general approach for discriminative de novo motif discovery from high-throughput dataJan Grau, Stefan Posch, Ivo Grosse, et al.
Frontiers in Bioengineering and Biotechnology|October 7, 2015
Joint Analysis of Dependent Features within Compound Spectra Can Improve Detection of Differential FeaturesDiana Trutschel, Stephan Schmidt, Ivo Grosse, et al.
BMC Bioinformatics|March 3, 2017
Combining phylogenetic footprinting with motif models incorporating intra-motif dependenciesMartin Nettling, Hendrik Treutler, Jesus Cerquides, et al.
Pageof 11