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Marcus Oswald

Showing results (1-10 of 29) with videos related to

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BMC Bioinformatics|June 10, 2022
Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilisKulwadee Thanamit, Franziska Hoerhold, Marcus Oswald, et al.
Journal of Translational Medicine|May 2, 2026
A pan-viral map of host dependency factors from multi-omics integration and machine learning across influenza A, SARS-CoV-2, Zika, and dengue virusesMohadeseh Naseri, Alicia Hiemisch, André Dietz, et al.
Bioinformatics (Oxford, England)|August 28, 2014
Estimating the activity of transcription factors by the effect on their target genesTheresa Schacht, Marcus Oswald, Roland Eils, et al.
Computational and Structural Biotechnology Journal|April 8, 2020
Essential gene prediction in <i>Drosophila melanogaster</i> using machine learning approaches based on sequence and functional featuresOlufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Plos One|June 18, 2024
Correction: Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogasterOlufemi Tony Aromolaran, Itunuoluwa Isewon, Eunice Adedeji, et al.
BMC Bioinformatics|January 1, 2020
Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approachAlexandra M Poos, Theresa Kordaß, Amol Kolte, et al.
BMC Medical Genomics|September 14, 2010
Analyzing the regulation of metabolic pathways in human breast cancerGunnar Schramm, Eva-Maria Surmann, Stefan Wiesberg, et al.
BMC Systems Biology|July 26, 2008
Machine learning based analyses on metabolic networks supports high-throughput knockout screensKitiporn Plaimas, Jan-Phillip Mallm, Marcus Oswald, et al.
Plos One|August 9, 2023
Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogasterOlufemi Tony Aromolaran, Itunu Isewon, Eunice Adedeji, et al.
BMC Bioinformatics|March 10, 2006
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transformsRainer König, Gunnar Schramm, Marcus Oswald, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|June 10, 2022
Linear programming based gene expression model (LPM-GEM) predicts the carbon source for Bacillus subtilisKulwadee Thanamit, Franziska Hoerhold, Marcus Oswald, et al.
Journal of Translational Medicine|May 2, 2026
A pan-viral map of host dependency factors from multi-omics integration and machine learning across influenza A, SARS-CoV-2, Zika, and dengue virusesMohadeseh Naseri, Alicia Hiemisch, André Dietz, et al.
Bioinformatics (Oxford, England)|August 28, 2014
Estimating the activity of transcription factors by the effect on their target genesTheresa Schacht, Marcus Oswald, Roland Eils, et al.
Computational and Structural Biotechnology Journal|April 8, 2020
Essential gene prediction in <i>Drosophila melanogaster</i> using machine learning approaches based on sequence and functional featuresOlufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Plos One|June 18, 2024
Correction: Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogasterOlufemi Tony Aromolaran, Itunuoluwa Isewon, Eunice Adedeji, et al.
BMC Bioinformatics|January 1, 2020
Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approachAlexandra M Poos, Theresa Kordaß, Amol Kolte, et al.
BMC Medical Genomics|September 14, 2010
Analyzing the regulation of metabolic pathways in human breast cancerGunnar Schramm, Eva-Maria Surmann, Stefan Wiesberg, et al.
BMC Systems Biology|July 26, 2008
Machine learning based analyses on metabolic networks supports high-throughput knockout screensKitiporn Plaimas, Jan-Phillip Mallm, Marcus Oswald, et al.
Plos One|August 9, 2023
Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogasterOlufemi Tony Aromolaran, Itunu Isewon, Eunice Adedeji, et al.
BMC Bioinformatics|March 10, 2006
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transformsRainer König, Gunnar Schramm, Marcus Oswald, et al.
Pageof 3