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Martin Hofmann-Apitius

Showing results (71-80 of 145) with videos related to

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Scientific Reports|July 5, 2020
Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encodersMeemansa Sood, Akrishta Sahay, Reagon Karki, et al.
NAR Genomics and Bioinformatics|September 27, 2021
DecoPath: a web application for decoding pathway enrichment analysisSarah Mubeen, Vinay S Bharadhwaj, Yojana Gadiya, et al.
Frontiers in Molecular Biosciences|January 30, 2020
Challenges of Integrative Disease Modeling in Alzheimer's DiseaseSepehr Golriz Khatami, Christine Robinson, Colin Birkenbihl, et al.
Journal of Alzheimer'S Disease : JAD|August 12, 2017
Analytical Strategy to Prioritize Alzheimer's Disease Candidate Genes in Gene Regulatory Networks Using Public Expression DataShweta Bagewadi Kawalia, Tamara Raschka, Mufassra Naz, et al.
Journal of Alzheimer'S Disease : JAD|December 8, 2020
ANMerge: A Comprehensive and Accessible Alzheimer's Disease Patient-Level DatasetColin Birkenbihl, Sarah Westwood, Liu Shi, et al.
The EPMA Journal|August 27, 2020
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practiceColin Birkenbihl, Mohammad Asif Emon, Henri Vrooman, et al.
Nature Reviews. Drug Discovery|October 24, 2017
Trial watch: Tracing investment in drug development for Alzheimer diseaseAlpha Tom Kodamullil, Firas Zekri, Meemansa Sood, et al.
Nucleic Acids Research|July 1, 2021
Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanismsRebeca Queiroz Figueiredo, Tamara Raschka, Alpha Tom Kodamullil, et al.
Journal of Chemical Information and Modeling|August 31, 2007
Design of new plasmepsin inhibitors: a virtual high throughput screening approach on the EGEE gridVinod Kasam, Marc Zimmermann, Astrid Maass, et al.
NPJ Systems Biology and Applications|October 28, 2021
Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signaturesSepehr Golriz Khatami, Sarah Mubeen, Vinay Srinivas Bharadhwaj, et al.
Pageof 15

Showing results (71-80 of 145) with videos related to

Sort By:
Pageof 15
Scientific Reports|July 5, 2020
Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encodersMeemansa Sood, Akrishta Sahay, Reagon Karki, et al.
NAR Genomics and Bioinformatics|September 27, 2021
DecoPath: a web application for decoding pathway enrichment analysisSarah Mubeen, Vinay S Bharadhwaj, Yojana Gadiya, et al.
Frontiers in Molecular Biosciences|January 30, 2020
Challenges of Integrative Disease Modeling in Alzheimer's DiseaseSepehr Golriz Khatami, Christine Robinson, Colin Birkenbihl, et al.
Journal of Alzheimer'S Disease : JAD|August 12, 2017
Analytical Strategy to Prioritize Alzheimer's Disease Candidate Genes in Gene Regulatory Networks Using Public Expression DataShweta Bagewadi Kawalia, Tamara Raschka, Mufassra Naz, et al.
Journal of Alzheimer'S Disease : JAD|December 8, 2020
ANMerge: A Comprehensive and Accessible Alzheimer's Disease Patient-Level DatasetColin Birkenbihl, Sarah Westwood, Liu Shi, et al.
The EPMA Journal|August 27, 2020
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practiceColin Birkenbihl, Mohammad Asif Emon, Henri Vrooman, et al.
Nature Reviews. Drug Discovery|October 24, 2017
Trial watch: Tracing investment in drug development for Alzheimer diseaseAlpha Tom Kodamullil, Firas Zekri, Meemansa Sood, et al.
Nucleic Acids Research|July 1, 2021
Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanismsRebeca Queiroz Figueiredo, Tamara Raschka, Alpha Tom Kodamullil, et al.
Journal of Chemical Information and Modeling|August 31, 2007
Design of new plasmepsin inhibitors: a virtual high throughput screening approach on the EGEE gridVinod Kasam, Marc Zimmermann, Astrid Maass, et al.
NPJ Systems Biology and Applications|October 28, 2021
Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signaturesSepehr Golriz Khatami, Sarah Mubeen, Vinay Srinivas Bharadhwaj, et al.
Pageof 15