Results 31 to 40 of about 3,348,134 (351)
iScience, 2021 Summary: We aimed to identify triple-negative breast cancer (TNBC) drivers that regulate survival time as predictive signatures that improve TNBC prognostication.
Courtney D. Dill +4 more
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An Optimal Likelihood Free Method for Biological Model Selection [PDF]
arXiv, 2022 Systems biology seeks to create math models of biological systems to reduce inherent biological complexity and provide predictions for applications such as therapeutic development. However, it remains a challenge to determine which math model is correct and how to arrive optimally at the answer.
arxiv
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 +3 more sources
Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology [PDF]
arXiv, 2022 Synthetic biology is an emerging field that involves the engineering and re-design of organisms for purposes such as food security, health, and environmental protection. As such, it poses numerous ethical, legal, and social implications (ELSI) for researchers and policy makers.
arxiv
Stochastic Physics, Complex Systems and Biology [PDF]
, 2012 In complex systems, the interplay between nonlinear and stochastic dynamics, e.g., J. Monod's necessity and chance, gives rise to an evolutionary process in Darwinian sense, in terms of discrete jumps among attractors, with punctuated equilibrium ...
A Lasota +45 more
core +2 more sources
SYSTEMS BIOLOGY. Systems biology (un)certainties.
Science (New York, N.Y.), 2015 How can modelers restore confidence in systems and computational biology?
Kirk, PDW, Babtie, AC, Stumpf, MPH
openaire +2 more sources
Molecular Systems Biology, 2006 Genome-scale networks can now be reconstructed based on high-throughput data sets. Mathematical analyses of these networks are used to compute their candidate functional or phenotypic states. Analysis of functional states of networks shows that the activity of biochemical reactions can be highly correlated in physiological states, forming so-called co ...
Jamshidi, Neema, Palsson, Bernhard Ø
openaire +4 more sources
Approximation of Intractable Likelihood Functions in Systems Biology via Normalizing Flows [PDF]
arXiv, 2023 Systems biology relies on mathematical models that often involve complex and intractable likelihood functions, posing challenges for efficient inference and model selection. Generative models, such as normalizing flows, have shown remarkable ability in approximating complex distributions in various domains. However, their application in systems biology
arxiv
Imaging in Systems Biology [PDF]
Cell, 2007 Most systems biology approaches involve determining the structure of biological circuits using genomewide "-omic" analyses. Yet imaging offers the unique advantage of watching biological circuits function over time at single-cell resolution in the intact animal.
Megason, Sean G., Fraser, Scott E.
openaire +4 more sources
iScience, 2022 Summary: Autoimmune diseases (ADs) are at a significantly higher risk of cancers with unclear mechanism. By searching GWAS catalog database and Medline, susceptible genes for five common ADs, including systemic lupus erythematosus (SLE), rheumatoid ...
Shasha Li +10 more
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