Search research articles
Contact Us
Filters
Showing results (1-10 of 46) with videos related to
Page
of 5
Sort By:
Toxicology Letters
|
February 13, 2024
Quantitative modeling of in vitro data using an adverse outcome pathway for the risk assessment of decreased lung function in humans
Alain Sewer, Marja Talikka, Florian Calvino-Martin, et al.
BMC Research Notes
|
August 13, 2014
An algorithm for score aggregation over causal biological networks based on random walk sampling
Dmitry M Vasilyev, Ty M Thomson, Brian P Frushour, et al.
BMC Bioinformatics
|
July 13, 2014
Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models
Florian Martin, Alain Sewer, Marja Talikka, et al.
BMC Research Notes
|
June 3, 2014
Assessment of a novel multi-array normalization method based on spike-in control probes suitable for microRNA datasets with global decreases in expression
Alain Sewer, Sylvain Gubian, Ulrike Kogel, et al.
Drug Discovery Today
|
August 13, 2013
Case study: the role of mechanistic network models in systems toxicology
Julia Hoeng, Marja Talikka, Florian Martin, et al.
Nucleic Acids Research
|
September 15, 2006
Effects of Dicer and Argonaute down-regulation on mRNA levels in human HEK293 cells
Daniela Schmitter, Jody Filkowski, Alain Sewer, et al.
Journal of Virology
|
April 27, 2007
Marek's disease virus type 2 (MDV-2)-encoded microRNAs show no sequence conservation with those encoded by MDV-1
Yongxiu Yao, Yuguang Zhao, Hongtao Xu, et al.
Frontiers in Genetics
|
March 5, 2019
Construction of a Suite of Computable Biological Network Models Focused on Mucociliary Clearance in the Respiratory Tract
Hasmik Yepiskoposyan, Marja Talikka, Stefano Vavassori, et al.
BMC Bioinformatics
|
November 9, 2005
Identification of clustered microRNAs using an ab initio prediction method
Alain Sewer, Nicodème Paul, Pablo Landgraf, et al.
BMC Systems Biology
|
June 2, 2012
Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks
Florian Martin, Ty M Thomson, Alain Sewer, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 46) with videos related to
Sort By:
Page
of 5
Toxicology Letters
|
February 13, 2024
Quantitative modeling of in vitro data using an adverse outcome pathway for the risk assessment of decreased lung function in humans
Alain Sewer, Marja Talikka, Florian Calvino-Martin, et al.
BMC Research Notes
|
August 13, 2014
An algorithm for score aggregation over causal biological networks based on random walk sampling
Dmitry M Vasilyev, Ty M Thomson, Brian P Frushour, et al.
BMC Bioinformatics
|
July 13, 2014
Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models
Florian Martin, Alain Sewer, Marja Talikka, et al.
BMC Research Notes
|
June 3, 2014
Assessment of a novel multi-array normalization method based on spike-in control probes suitable for microRNA datasets with global decreases in expression
Alain Sewer, Sylvain Gubian, Ulrike Kogel, et al.
Drug Discovery Today
|
August 13, 2013
Case study: the role of mechanistic network models in systems toxicology
Julia Hoeng, Marja Talikka, Florian Martin, et al.
Nucleic Acids Research
|
September 15, 2006
Effects of Dicer and Argonaute down-regulation on mRNA levels in human HEK293 cells
Daniela Schmitter, Jody Filkowski, Alain Sewer, et al.
Journal of Virology
|
April 27, 2007
Marek's disease virus type 2 (MDV-2)-encoded microRNAs show no sequence conservation with those encoded by MDV-1
Yongxiu Yao, Yuguang Zhao, Hongtao Xu, et al.
Frontiers in Genetics
|
March 5, 2019
Construction of a Suite of Computable Biological Network Models Focused on Mucociliary Clearance in the Respiratory Tract
Hasmik Yepiskoposyan, Marja Talikka, Stefano Vavassori, et al.
BMC Bioinformatics
|
November 9, 2005
Identification of clustered microRNAs using an ab initio prediction method
Alain Sewer, Nicodème Paul, Pablo Landgraf, et al.
BMC Systems Biology
|
June 2, 2012
Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks
Florian Martin, Ty M Thomson, Alain Sewer, et al.
Page
of 5