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International Journal of Modern Physics B, 2012 Rapid progress of experimental biology has provided a huge flow of quantitative data, which can be analyzed and understood only through the application of advanced techniques recently developed in theoretical sciences. On the other hand, synthetic biology enabled us to engineer biological models with reduced complexity.
Ullner, E. +13 more
openaire +6 more sources
Turing Patterns and Biological Explanation [PDF]
, 2017 Turing patterns are a class of minimal mathematical models that have been used to discover and conceptualize certain abstract features of early biological development.
Amundson +42 more
core +2 more sources
A Method to Identify and Analyze Biological Programs through Automated Reasoning. [PDF]
, 2016 Predictive biology is elusive because rigorous, data-constrained, mechanistic models of complex biological systems are difficult to derive and validate.
and Stephen Emmott, 5 +5 more
core +1 more source
Engineering simulations for cancer systems biology [PDF]
, 2012 Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses.
Andrews, Paul S. +8 more
core +4 more sources
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks [PDF]
, 2016 Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process of identifying gene/protein interactions from experimental data through ...
Beretta, Stefano +4 more
core +2 more sources
Crosstalk between G-protein and Ca2+ pathways switches intracellular cAMP levels [PDF]
, 2001 Cyclic adenosine monophosphate and cyclic guanosine monophosphate are universal intracellular messengers whose concentrations are regulated by molecular networks comprised of different isoforms of the synthases adenylate cyclase or guanylate cyclase and ...
A Dietz +22 more
core +2 more sources
Epigenomes in Cardiovascular Disease. [PDF]
, 2018 If unifying principles could be revealed for how the same genome encodes different eukaryotic cells and for how genetic variability and environmental input are integrated to impact cardiovascular health, grand challenges in basic cell biology and ...
McKinsey TA +4 more
core +1 more source
Perils and pitfalls of mixed-effects regression models in biology
PeerJ, 2020 Biological systems, at all scales of organisation from nucleic acids to ecosystems, are inherently complex and variable. Biologists therefore use statistical analyses to detect signal among this systemic noise.
M. Silk, X. Harrison, D. Hodgson
semanticscholar +1 more source
Reply to Comment on “Sloppy models, parameter uncertainty, and the role of experimental design" [PDF]
, 2011 available in PMC 2012 November 10.We welcome the commentary from Chachra, Transtrum, and Sethna1 regarding our paper “Sloppy models, parameter uncertainty, and the role of experimental design,”2 as their intriguing work shaped our thinking in this area.
Apgar +13 more
core +1 more source