Results 61 to 70 of about 30,009,286 (350)
Bridging Mechanistic and Phenomenological Models of Complex Biological Systems
, 2016 The inherent complexity of biological systems gives rise to complicated mechanistic models with a large number of parameters. On the other hand, the collective behavior of these systems can often be characterized by a relatively small number of ...
Qiu, Peng, Transtrum, Mark K.
core +2 more sources
Pattern formation in reaction diffusion models with spatially inhomogeneous diffusion coefficients [PDF]
, 1992 Reaction-diffusion models for biological pattern formation have been studied extensively in a variety of embryonic and ecological contexts. However, despite experimental evidence pointing to the existence of spatial inhomogeneities in various biological ...
Benson, D. L. +2 more
core +3 more sources
Standards for distribution models in biodiversity assessments
Science Advances, 2019 Biodiversity assessments use a variety of data and models. We propose best-practice standards for studies in these assessments. Demand for models in biodiversity assessments is rising, but which models are adequate for the task?
Miguel B Araújo +19 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
bioRxiv, 2016 The coefficient of determination R2 quantifies the proportion of variance explained by a statistical model and is an important summary statistic of biological interest.
S Nakagawa, P. C. Johnson, H. Schielzeth
semanticscholar +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
From Solvable to Executable Models of Biological Systems [PDF]
, 2008 Classical modeling approaches for biology are mainly grounded in mathematics, and specifically on ordinary differential equations (ODE). Process calculi-based conceptual and computational tools are an alternative and emergent approach.
Palmisano, Alida, Priami, Corrado
core
An immune network approach to learning qualitative models of biological pathways [PDF]
, 2014 ACKNOWLEDGMENT GMC is supported by the CRISP project (Combinatorial Responses In Stress Pathways) funded by the BBSRC (BB/F00513X/1) under the Systems Approaches to Biological Research (SABR) Initiative.
Coghill, George M, Pang, Wei
core +1 more source
Next-Generation Machine Learning for Biological Networks.
Cell, 2018 Machine learning, a collection of data-analytical techniques aimed at building predictive models from multi-dimensional datasets, is becoming integral to modern biological research.
Diogo M. Camacho +4 more
semanticscholar +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source