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Marcel Reinders

Showing results (21-30 of 59) with videos related to

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Scientific Reports|July 22, 2025
Tackling inter-subject variability in smartwatch data using factorization modelsArman Naseri, David M J Tax, Ivo van der Bilt, et al.
Plos Computational Biology|January 7, 2010
Identification of networks of co-occurring, tumor-related DNA copy number changes using a genome-wide scoring approachChristiaan Klijn, Jan Bot, David J Adams, et al.
Bioinformatics (Oxford, England)|July 25, 2007
Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenesJeroen de Ridder, Jaap Kool, Anthony Uren, et al.
Bioinformatics (Oxford, England)|June 10, 2010
Inferring combinatorial association logic networks in multimodal genome-wide screensJeroen de Ridder, Alice Gerrits, Jan Bot, et al.
Cardiovascular Digital Health Journal|January 15, 2024
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearablesArman Naseri, David Tax, Pim van der Harst, et al.
Nucleic Acids Research|January 12, 2008
Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH dataChristiaan Klijn, Henne Holstege, Jeroen de Ridder, et al.
Plos Computational Biology|May 13, 2015
Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse CortexSepideh Babaei, Ahmed Mahfouz, Marc Hulsman, et al.
Nurse Education Today|September 15, 2024
Debriefing to nurture clinical reasoning in nursing students: A design-based research studyJettie Vreugdenhil, Louti Broeksma, Carolyn Teuwen, et al.
Bioinformatics (Oxford, England)|September 9, 2010
Integrating genome assemblies with MAIAJurgen Nijkamp, Wynand Winterbach, Marcel van den Broek, et al.
Psychiatry Research. Neuroimaging|June 15, 2026
Brain Connectivity and Machine Learning Approaches to assess the underlying neurobiology and prediction accuracy of anorexia nervosa: A replication studyLaura Monteiro Rente Dias, Hugo Schnack, Daniel Geisler, et al.
Pageof 6

Showing results (21-30 of 59) with videos related to

Sort By:
Pageof 6
Scientific Reports|July 22, 2025
Tackling inter-subject variability in smartwatch data using factorization modelsArman Naseri, David M J Tax, Ivo van der Bilt, et al.
Plos Computational Biology|January 7, 2010
Identification of networks of co-occurring, tumor-related DNA copy number changes using a genome-wide scoring approachChristiaan Klijn, Jan Bot, David J Adams, et al.
Bioinformatics (Oxford, England)|July 25, 2007
Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenesJeroen de Ridder, Jaap Kool, Anthony Uren, et al.
Bioinformatics (Oxford, England)|June 10, 2010
Inferring combinatorial association logic networks in multimodal genome-wide screensJeroen de Ridder, Alice Gerrits, Jan Bot, et al.
Cardiovascular Digital Health Journal|January 15, 2024
Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearablesArman Naseri, David Tax, Pim van der Harst, et al.
Nucleic Acids Research|January 12, 2008
Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH dataChristiaan Klijn, Henne Holstege, Jeroen de Ridder, et al.
Plos Computational Biology|May 13, 2015
Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse CortexSepideh Babaei, Ahmed Mahfouz, Marc Hulsman, et al.
Nurse Education Today|September 15, 2024
Debriefing to nurture clinical reasoning in nursing students: A design-based research studyJettie Vreugdenhil, Louti Broeksma, Carolyn Teuwen, et al.
Bioinformatics (Oxford, England)|September 9, 2010
Integrating genome assemblies with MAIAJurgen Nijkamp, Wynand Winterbach, Marcel van den Broek, et al.
Psychiatry Research. Neuroimaging|June 15, 2026
Brain Connectivity and Machine Learning Approaches to assess the underlying neurobiology and prediction accuracy of anorexia nervosa: A replication studyLaura Monteiro Rente Dias, Hugo Schnack, Daniel Geisler, et al.
Pageof 6