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Lothar Richter

Showing results (1-10 of 8) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Learning a predictive model for growth inhibition from the NCI DTP human tumor cell line screening data: does gene expression make a difference?Lothar Richter, Ulrich Rückert, Stefan Kramer
Journal of Cheminformatics|June 29, 2011
Predicting a small molecule-kinase interaction map: A machine learning approachFabian Buchwald, Lothar Richter, Stefan Kramer
Bioinformatics (Oxford, England)|October 6, 2005
Analyzing microarray data using quantitative association rulesElisabeth Georgii, Lothar Richter, Ulrich Rückert, et al.
Nucleic Acids Research|October 19, 2007
Characterization of bacterial operons consisting of two tubulins and a kinesin-like gene by the novel Two-Step Gene Walking methodMartin Pilhofer, Andreas Peter Bauer, Martina Schrallhammer, et al.
Cell Reports. Medicine|June 29, 2024
Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screeningTarek Eissa, Cristina Leonardo, Kosmas V Kepesidis, et al.
Nucleic Acids Research|May 7, 2014
PredictProtein--an open resource for online prediction of protein structural and functional featuresGuy Yachdav, Edda Kloppmann, Laszlo Kajan, et al.
Nucleic Acids Research|February 27, 2004
ARB: a software environment for sequence dataWolfgang Ludwig, Oliver Strunk, Ralf Westram, et al.
Genome Biology|September 9, 2016
An expanded evaluation of protein function prediction methods shows an improvement in accuracyYuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Learning a predictive model for growth inhibition from the NCI DTP human tumor cell line screening data: does gene expression make a difference?Lothar Richter, Ulrich Rückert, Stefan Kramer
Journal of Cheminformatics|June 29, 2011
Predicting a small molecule-kinase interaction map: A machine learning approachFabian Buchwald, Lothar Richter, Stefan Kramer
Bioinformatics (Oxford, England)|October 6, 2005
Analyzing microarray data using quantitative association rulesElisabeth Georgii, Lothar Richter, Ulrich Rückert, et al.
Nucleic Acids Research|October 19, 2007
Characterization of bacterial operons consisting of two tubulins and a kinesin-like gene by the novel Two-Step Gene Walking methodMartin Pilhofer, Andreas Peter Bauer, Martina Schrallhammer, et al.
Cell Reports. Medicine|June 29, 2024
Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screeningTarek Eissa, Cristina Leonardo, Kosmas V Kepesidis, et al.
Nucleic Acids Research|May 7, 2014
PredictProtein--an open resource for online prediction of protein structural and functional featuresGuy Yachdav, Edda Kloppmann, Laszlo Kajan, et al.
Nucleic Acids Research|February 27, 2004
ARB: a software environment for sequence dataWolfgang Ludwig, Oliver Strunk, Ralf Westram, et al.
Genome Biology|September 9, 2016
An expanded evaluation of protein function prediction methods shows an improvement in accuracyYuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark, et al.
Pageof 1