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Marc Strickert

Showing results (1-10 of 22) with videos related to

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BMC Bioinformatics|May 24, 2007
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissueMarc Strickert, Nese Sreenivasulu, Björn Usadel, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Recursive self-organizing network modelsBarbara Hammer, Alessio Micheli, Alessandro Sperduti, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 14, 2010
Array platforms and bioinformatics tools for the analysis of plant transcriptome in response to abiotic stressNese Sreenivasulu, Ramanjulu Sunkar, Ulrich Wobus, et al.
Plos Computational Biology|January 19, 2012
Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thalianaMichael Seifert, André Gohr, Marc Strickert, et al.
Bioinformatics (Oxford, England)|April 23, 2011
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov ModelsMichael Seifert, Marc Strickert, Alexander Schliep, et al.
Bioinformatics (Oxford, England)|April 30, 2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip dataMichael Seifert, Jens Keilwagen, Marc Strickert, et al.
Molecular Informatics|July 29, 2016
Target-Driven Subspace Mapping Methods and Their Applicability Domain EstimationAxel J Soto, Gustavo E Vazquez, Marc Strickert, et al.
BMC Bioinformatics|February 24, 2010
Unifying generative and discriminative learning principlesJens Keilwagen, Jan Grau, Stefan Posch, et al.
The Plant Journal : for Cell and Molecular Biology|June 15, 2006
Gene expression patterns reveal tissue-specific signaling networks controlling programmed cell death and ABA- regulated maturation in developing barley seedsNese Sreenivasulu, Volodymyr Radchuk, Marc Strickert, et al.
Frontiers in Plant Science|September 3, 2019
siRNA-Finder (si-Fi) Software for RNAi-Target Design and Off-Target PredictionStefanie Lück, Tino Kreszies, Marc Strickert, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|May 24, 2007
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissueMarc Strickert, Nese Sreenivasulu, Björn Usadel, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Recursive self-organizing network modelsBarbara Hammer, Alessio Micheli, Alessandro Sperduti, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 14, 2010
Array platforms and bioinformatics tools for the analysis of plant transcriptome in response to abiotic stressNese Sreenivasulu, Ramanjulu Sunkar, Ulrich Wobus, et al.
Plos Computational Biology|January 19, 2012
Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thalianaMichael Seifert, André Gohr, Marc Strickert, et al.
Bioinformatics (Oxford, England)|April 23, 2011
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov ModelsMichael Seifert, Marc Strickert, Alexander Schliep, et al.
Bioinformatics (Oxford, England)|April 30, 2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip dataMichael Seifert, Jens Keilwagen, Marc Strickert, et al.
Molecular Informatics|July 29, 2016
Target-Driven Subspace Mapping Methods and Their Applicability Domain EstimationAxel J Soto, Gustavo E Vazquez, Marc Strickert, et al.
BMC Bioinformatics|February 24, 2010
Unifying generative and discriminative learning principlesJens Keilwagen, Jan Grau, Stefan Posch, et al.
The Plant Journal : for Cell and Molecular Biology|June 15, 2006
Gene expression patterns reveal tissue-specific signaling networks controlling programmed cell death and ABA- regulated maturation in developing barley seedsNese Sreenivasulu, Volodymyr Radchuk, Marc Strickert, et al.
Frontiers in Plant Science|September 3, 2019
siRNA-Finder (si-Fi) Software for RNAi-Target Design and Off-Target PredictionStefanie Lück, Tino Kreszies, Marc Strickert, et al.
Pageof 3