FUNNEL-GSEA: FUNctioNal ELastic-net regression in time-course gene set enrichment analysis
Motivation Gene set enrichment analyses (GSEAs) are widely used in genomic research to
identify underlying biological mechanisms (defined by the gene sets), such as Gene …
identify underlying biological mechanisms (defined by the gene sets), such as Gene …
Computational modelling in health and disease: highlights of the 6th annual SysMod meeting
Abstract Summary The Community of Special Interest (COSI) in Computational Modelling of
Biological Systems (SysMod) brings together interdisciplinary scientists interested in …
Biological Systems (SysMod) brings together interdisciplinary scientists interested in …
Meta-analysis of cell-specific transcriptomic data using fuzzy c-means clustering discovers versatile viral responsive genes
Background Despite advances in the gene-set enrichment analysis methods; inadequate
definitions of gene-sets cause a major limitation in the discovery of novel biological …
definitions of gene-sets cause a major limitation in the discovery of novel biological …
Potential genes and pathways of neonatal sepsis based on functional gene set enrichment analyses
YX Meng, XH Cai, LP Wang - Computational and Mathematical …, 2018 - Wiley Online Library
Background. Neonatal sepsis (NS) is considered as the most common cause of neonatal
deaths that newborns suffer from. Although numerous studies focus on gene biomarkers of …
deaths that newborns suffer from. Although numerous studies focus on gene biomarkers of …
[HTML][HTML] Unbiased analysis of peripheral blood mononuclear cells reveals CD4 T cell response to RSV matrix protein
Respiratory syncytial virus (RSV) is the most important cause of respiratory tract illness
especially in young infants that develop severe disease requiring hospitalization, and …
especially in young infants that develop severe disease requiring hospitalization, and …
Network analysis of large-scale data and its application to immunology
Diseases and infections elicit a multilayered immune response which consists of molecular
and cellular interaction cascades. Recent advances in high-throughput technologies have …
and cellular interaction cascades. Recent advances in high-throughput technologies have …
[图书][B] Executable Models of Signaling Pathways and Application to HIV
R Palli - 2020 - search.proquest.com
Executable models of signaling pathways enable transforming static pictures of signaling
pathways into models that can be used for in-silico experimentation, thereby facilitating …
pathways into models that can be used for in-silico experimentation, thereby facilitating …
Developing Network Models of Multiscale Host Responses Involved in Infections and Diseases
Complex interactions involved in host response to infections and diseases require advanced
analytical tools to infer drivers of the response in order to develop strategies for intervention …
analytical tools to infer drivers of the response in order to develop strategies for intervention …
[图书][B] Novel Statistical Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Y Zhang - 2018 - search.proquest.com
Abstract Gene Set Enrichment Analysis (GSEA) is a powerful inferential tool that incor-
porates knowledge of a priori defined gene sets (eg molecular pathways) into the high …
porates knowledge of a priori defined gene sets (eg molecular pathways) into the high …