Dr. Marc Strickert
| Researcher ID: GEQ-8667-2022 |
Research interest
- Bioinformatik/Medizininformatik
- Biostatistik
- Programmierung
- Simulation
- Data Science
- High-Performance Computing
- Datenvisualisierung
Awards
- 2011 Best prediction of “Dialogue for Reverse Engineering Assessments and Methods”-Challenge
Columbia University Center for Multiscale Analysis of Genomic & Cellular Networks,
IBM Research - Zurich - 2007 Best Poster GABI Status Seminar
Federal Ministry of Research, Technology and Space, former: Federal Ministry of Education and Research
Projects as co-investigator or project member
- GRK 1564: Bildgebung und -verarbeitung neuer Modalitäten - Multimodale Bild-Akquisition und Analyse für Anwendungen in der Zivilen Sicherheit
German Research Foundation (DFG) - Theoriebildung und Algorithmenentwicklung zur Verarbeitung großer -omics- Datensätze aus der molekularen Biologie
Ministry for Science, Energy, Climate Protection and the Environment of the State of Saxony-Anhalt ()
Selected publications
- CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites (2016)
- IEEE Transactions on Knowledge and Data Engineering
Journal article - Correlation-based embedding of pairwise score data (2014)
- Neurocomputing
Journal article - Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana (2012)
- PLoS Computational Biology
Journal article - Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue (2007)
- BMC Bioinformatics
Journal article - Gene expression patterns reveal tissue-specific signaling networks controlling programmed cell death and ABA-regulated maturation in developing barley seeds (2006)
- The Plant Journal
Journal article
Publications
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- Comprehensive Transcriptome Analysis Unravels the Existence of Crucial Genes Regulating Primary Metabolism during Adventitious Root Formation in Petunia hybrida (2014)
- PLoS ONE
Journal article - Correlation-based embedding of pairwise score data (2014)
- Neurocomputing
Journal article - Salinity Stress in Roots of Contrasting Barley Genotypes Reveals Time-Distinct and Genotype-Specific Patterns for Defined Proteins (2014)
- Molecular Plant
Journal article - Dispom: a discriminative de-novo motif discovery tool based on the jstacs library (2013)
- Journal of Bioinformatics and Computational Biology
Journal article - Notes on soft minimum and other function approximations (2013)
Strickert, Marc; Hüllermeier, Eyke
Conference paper - Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana (2012)
- PLoS Computational Biology
Journal article - Posterior regularization and attribute assessment of under-determined linear mappings (2012)
Strickert, Marc; Seifert, Michael
Conference paper - ABA biosynthesis and degradation contributing to ABA homeostasis during barley seed development under control and terminal drought-stress conditions (2011)
- Journal of Experimental Botany
Journal article - De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference (2011)
- PLoS Computational Biology
Journal article - Enhancing M|G|RLVQ by quasi step discriminatory functions using 2nd order training (2011)
Strickert, Marc
Conference paper - Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models (2011)
- Bioinformatics
Journal article - Mapping of quantitative trait loci associated with protein expression variation in barley grains (2011)
- Molecular Breeding
Journal article - Multispectral image characterization by partial generalized covariance (2011)
Strickert, Marc; Labitzke, Björn; Kolb, Andreas; et al.
Conference paper - Partial generalized correlation for hyperspectral data (2011)
Strickert, Marc; Labitzke, Björn; Blanz, Volker
Conference paper - Target-Driven Subspace Mapping Methods and Their Applicability Domain Estimation (2011)
- Molecular Informatics
Journal article
Previous professional career
- 03/2016 - 07/2016
Mitarbeiter, Job Coach
Schnelle Wiederintegration von Arbeitssuchenden in den Beruf- Gesellschaft für Wirtschaftsförderung, Ausbildungs- und Beschäftigungsinitiativen mbH
- 01/2015 - 06/2015
Wissenschaftlicher Angestellter, Institut für Lungenforschung, Biomedizinisches Forschungszentrum
Bioinformatikanalysen von qRT-PCR-, TLDA- und RNA-Seq-Daten- Philipps University of Marburg
- TransMIT Gesellschaft für Technologietransfer mbH
- 02/2012 - 04/2014
Postdoktorand SYNMIKRO und DFG-Projekt präferenzbasiertes Lernen
Entwicklung von Analysemethoden für Daten aus der synthetischen Mikrobiologie- Philipps University of Marburg
- 02/2010 - 01/2012
Postdoktorand, DFG Graduiertenkolleg 1564 'Imaging new modalities'
Entwicklung von Klassifkationsverfahren für Terahertz-Spektroskopiedaten- University of Siegen
- 01/2009 - 12/2010
Bilaterales Deutsch-Argentinisches Projekt (PI)
Algorithmen-Entwicklung zur Attribut-Selektion in der Chemoinformatik; Austauschprogramm mit Dr. Gustavo Vazquez (BMBF/IB:ARG08/016)- Universidad Nacional del Sur
- Planta Piloto de Ingeniería Química
- 05/2007 - 01/2010
Leiter Forschernachwuchsgruppe Dateninspektion (PI)
Theoriebildung und Algorithmenentwicklung zur Verarbeitung großer -omics- Datensätze aus der molekularen Biologie (Ministerium für Wissenschaft und Kultur Sachsen-Anhalt, XP3624HP/0606T)- Leibniz Institute of Plant Genetics and Crop Plant Research
- 09/2004 - 04/2007
Postdoktorand AG Mustererkennung
Methodenentwicklung für Transkriptomanalysen- Leibniz Institute of Plant Genetics and Crop Plant Research
- 08/2000 - 01/2005
Ph.D. (Dr. rer. nat.), Institut für Informatik
Arbeit: Self-Organizing Neural Networks for Sequence Processing (s.c.laude)
Gutachter: Prof. Barbara Hammer, Prof. Helge Ritter (TU-Bielefeld)
Gebiet: Lernen mit neuronalen Methoden auf strukturierten Daten- Osnabrück University
- 09/1995 - 01/2000
Dipl. Systemwiss., Institut für Umweltsystemforschung
Arbeit: Treatment of Time Series from Ecosystems: Analysis and Modelling by the Example of Daily Rainfall and Runoff Data (sehr gut)
Gutachter: Prof. Michael Matthies (Universität Osnabrück), Prof. Holger Lange (BITÖK, Universität Bayreuth)
Gebiet: Mathematische Modellierung komplexer Systeme- Osnabrück University
Other Research Activities
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- Ibero-American Conference on Arti cial Intelligence IBERAMIA 2012 (Expert activities)
- Argentine Symposium on Artificial Intelligence ASAI 2012 (Expert activities)
- Workshop of the GI-Arbeitskreis Neuronale Netze and the German Neural Networks Society in connection to DAGM 2011 (Expert activities)
- 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing SNPD 2010 (Expert activities)
- Fachzeitschrift "Bioinformatics" (Expert activities)
- Fachzeitschrift "Biological Cybernetics" (Expert activities)
- Fachzeitschrift "BMC Bioinformatics" (Expert activities)
- Fachzeitschrift "BMC Systems Biology" (Expert activities)
- Fachzeitschrift "Data Mining and Knowledge Discovery" (Expert activities)
- Fachzeitschrift "IEEE Transaction on Neural Networks" (Expert activities)
