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Michael Seifert
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2020 – today
- 2023
- [j10]Michael Seifert
, Stephan Kuehnel
Hybrid Clouds Arising from Software as a Service Adoption: Challenges, Solutions, and Future Research Directions. ACM Comput. Surv. 55(11): 228:1-228:35 (2023) - 2021
- [b2]Michael Seifert:
Computational Cancer Research: Network-based analysis of cancer data disentangles clinically relevant alterations from molecular measurements. University of Dresden, Germany, 2021 - [c9]Michael Seifert:
Analysis of Public Cloud Service Level Agreements - An Evaluation of Leading Software as a Service Providers. CIISR@Wirtschaftsinformatik 2021: 22-35 - 2020
- [c8]Michael Seifert
"HySLAC" - A Conceptual Model for Service Level Agreement Compliance in Hybrid Cloud Architectures. GI-Jahrestagung 2020: 205-218 - [c7]Kai Heinrich, Adrian Fischer, Michael Seifert:
Die Rolle der mehrschichtigen Netzwerkanalyse im Bereich Social Media Analysis am Beispiel der Identifizierung von Persönlichkeitsmerkmalen. Wirtschaftsinformatik (Zentrale Tracks) 2020: 277-292
2010 – 2019
- 2019
- [j9]Michael Seifert
Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse. PLoS Comput. Biol. 15(11) (2019) - 2018
- [j8]Michael Seifert, Andreas Beyer
regNet: an R package for network-based propagation of gene expression alterations. Bioinform. 34(2): 308-311 (2018) - [j7]Michael Seifert:
Lorentz-Violating Gravity Models and the Linearized Limit. Symmetry 10(10): 490 (2018) - [c6]Vera Fleißner, Kai Heinrich, Michael Seifert:
Towards an Open Book Architecture for Deep Learning Networks: Data Properties and Architectures - Evidence from Time Series Analytics. LWDA 2018: 132-138 - 2017
- [c5]Hans Betke, Michael Seifert:
BPMN for Disaster Response Processes. GI-Jahrestagung 2017: 1311-1324 - 2013
- [j6]Caroline Bérard, Michael Seifert, Tristan Mary-Huard, Marie-Laure Martin-Magniette:
MultiChIPmixHMM: an R package for ChIP-chip data analysis modeling spatial dependencies and multiple replicates. BMC Bioinform. 14: 271 (2013) - [j5]Jan Grau, Jens Keilwagen
Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library. J. Bioinform. Comput. Biol. 11(1) (2013) - 2012
- [j4]Michael Seifert, Sandra Cortijo
MeDIP-HMM: genome-wide identification of distinct DNA methylation states from high-density tiling arrays. Bioinform. 28(22): 2930-2939 (2012) - [j3]Michael Seifert, André Gohr
Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana. PLoS Comput. Biol. 8(1) (2012) - [c4]Marc Strickert, Michael Seifert:
Posterior regularization and attribute assessment of under-determined linear mappings. ESANN 2012 - 2011
- [j2]Michael Seifert, Marc Strickert, Alexander Schliep
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models. Bioinform. 27(12): 1645-1652 (2011) - 2010
- [b1]Michael Seifert:
Extensions of Hidden Markov Models for the analysis of DNA microarray data. University of Halle, Germany, 2010
2000 – 2009
- 2009
- [j1]Michael Seifert, Jens Keilwagen
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. Bioinform. 25(16): 2118-2125 (2009) - [c3]Michael Seifert, Ali Banaei, Jens Keilwagen, Michael Florian Mette, Andreas Houben, François Roudier, Vincent Colot, Ivo Grosse, Marc Strickert:
Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models. BIOSIGNALS 2009: 3-11 - 2008
- [c2]Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse:
Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data. German Conference on Bioinformatics 2008: 116-127 - [c1]Volker Nissen, Michael Seifert:
Das Consulting C - Grundzüge eines Prozessreferenzmodells für Beratungsunternehmen. Multikonferenz Wirtschaftsinformatik 2008
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