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Philip Stegmaier

Showing results (1-10 of 16) with videos related to

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BMC Bioinformatics|May 5, 2010
Creating PWMs of transcription factors using 3D structure-based computation of protein-DNA free binding energiesDenitsa Alamanova, Philip Stegmaier, Alexander Kel
Genome Informatics. International Conference on Genome Informatics|February 12, 2005
Systematic DNA-binding domain classification of transcription factorsPhilip Stegmaier, Alexander E Kel, Edgar Wingender
Plos Computational Biology|April 5, 2013
A discriminative approach for unsupervised clustering of DNA sequence motifsPhilip Stegmaier, Alexander Kel, Edgar Wingender, et al.
Plos One|October 15, 2021
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasksHalima Alachram, Hryhorii Chereda, Tim Beißbarth, et al.
Microarrays (Basel, Switzerland)|September 8, 2016
"Upstream Analysis": An Integrated Promoter-Pathway Analysis Approach to Causal Interpretation of Microarray DataJeannette Koschmann, Anirban Bhar, Philip Stegmaier, et al.
BMC Genomics|October 20, 2007
Short sequence motifs, overrepresented in mammalian conserved non-coding sequencesSimon Minovitsky, Philip Stegmaier, Alexander Kel, et al.
BMC Systems Biology|September 7, 2010
Molecular mechanistic associations of human diseasesPhilip Stegmaier, Mathias Krull, Nico Voss, et al.
Plos One|April 6, 2011
Advanced computational biology methods identify molecular switches for malignancy in an EGF mouse model of liver cancerPhilip Stegmaier, Nico Voss, Tatiana Meier, et al.
Eupa Open Proteomics|June 15, 2018
Multi-omics "upstream analysis" of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancerAlexander E Kel, Philip Stegmaier, Tagir Valeev, et al.
Genome Medicine|March 12, 2021
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancerHryhorii Chereda, Annalen Bleckmann, Kerstin Menck, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|May 5, 2010
Creating PWMs of transcription factors using 3D structure-based computation of protein-DNA free binding energiesDenitsa Alamanova, Philip Stegmaier, Alexander Kel
Genome Informatics. International Conference on Genome Informatics|February 12, 2005
Systematic DNA-binding domain classification of transcription factorsPhilip Stegmaier, Alexander E Kel, Edgar Wingender
Plos Computational Biology|April 5, 2013
A discriminative approach for unsupervised clustering of DNA sequence motifsPhilip Stegmaier, Alexander Kel, Edgar Wingender, et al.
Plos One|October 15, 2021
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasksHalima Alachram, Hryhorii Chereda, Tim Beißbarth, et al.
Microarrays (Basel, Switzerland)|September 8, 2016
"Upstream Analysis": An Integrated Promoter-Pathway Analysis Approach to Causal Interpretation of Microarray DataJeannette Koschmann, Anirban Bhar, Philip Stegmaier, et al.
BMC Genomics|October 20, 2007
Short sequence motifs, overrepresented in mammalian conserved non-coding sequencesSimon Minovitsky, Philip Stegmaier, Alexander Kel, et al.
BMC Systems Biology|September 7, 2010
Molecular mechanistic associations of human diseasesPhilip Stegmaier, Mathias Krull, Nico Voss, et al.
Plos One|April 6, 2011
Advanced computational biology methods identify molecular switches for malignancy in an EGF mouse model of liver cancerPhilip Stegmaier, Nico Voss, Tatiana Meier, et al.
Eupa Open Proteomics|June 15, 2018
Multi-omics "upstream analysis" of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancerAlexander E Kel, Philip Stegmaier, Tagir Valeev, et al.
Genome Medicine|March 12, 2021
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancerHryhorii Chereda, Annalen Bleckmann, Kerstin Menck, et al.
Pageof 2