Results 31 to 40 of about 27,460,944 (326)
Robust Modelling of Biological Neuroregulators [PDF]
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 The modelling of biological neuroregulated systems is usually complex because of their non-structured and distributed architecture. Software agents are a very useful tool to use in the modelling of this kind of systems, allowing increasing the model with characteristics which are not present in the biological equivalent. This work proposes a model of a
D.R. Fernandez +5 more
openaire +4 more sources
Decoding Sequence Classification Models for Acquiring New Biological Insights [PDF]
, 2010 Classifying biological sequences is one of the most important tasks in computational biology. In the last decade, support vector machines (SVMs) in combination with sequence kernels have emerged as a de-facto standard.
Andreas Kothmeier +5 more
core +2 more sources
Dynamic Influence Networks for Rule-based Models [PDF]
, 2017 We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks.
Boutillier, Pierre +6 more
core +5 more sources
Scientific Reports, 2016 The potential of a spheroid tumor model composed of cells in different proliferative and metabolic states for the development of new anticancer strategies has been amply demonstrated.
M. Zanoni +7 more
semanticscholar +1 more source
Discriminative topological features reveal biological network mechanisms [PDF]
BMC Bioinformatics, 2004 BackgroundRecent genomic and bioinformatic advances have motivated the development of numerous network models intending to describe graphs of biological, technological, and sociological origin.
Manuel Middendorf +8 more
semanticscholar +1 more source
Comparison and evaluation of statistical error models for scRNA-seq
Genome Biology, 2021 Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple sources, including biological variation in cellular state as well as technical variation introduced during experimental processing.
S. Choudhary, R. Satija
semanticscholar +1 more source
BioDiVinE: A Framework for Parallel Analysis of Biological Models [PDF]
, 2009 In this paper a novel tool BioDiVinEfor parallel analysis of biological models is presented. The tool allows analysis of biological models specified in terms of a set of chemical reactions. Chemical reactions are transformed into a system of multi-affine
C. Belta +29 more
core +2 more sources
Internal Models in Biological Control
Annu. Rev. Control. Robotics Auton. Syst., 2019 Rationality principles such as optimal feedback control and Bayesian inference underpin a probabilistic framework that has accounted for a range of empirical phenomena in biological sensorimotor control.
Daniel C. McNamee, D. Wolpert
semanticscholar +1 more source
Boolean Models of Bistable Biological Systems
, 2009 This paper presents an algorithm for approximating certain types of dynamical systems given by a system of ordinary delay differential equations by a Boolean network model.
A. Novick +16 more
core +1 more source
MathSBML: a package for manipulating SBML-based biological models [PDF]
, 2004 Summary: MathSBML is a Mathematica package designed for manipulating Systems Biology Markup Language (SBML) models. It converts SBML models into Mathematica data structures and provides a platform for manipulating and evaluating these models.
Doyle, John +3 more
core +2 more sources