Improved gravitation field algorithm and its application in hierarchical clustering. [PDF]
PLoS ONE, 2012 BACKGROUND: Gravitation field algorithm (GFA) is a new optimization algorithm which is based on an imitation of natural phenomena. GFA can do well both for searching global minimum and multi-minima in computational biology.
Ming Zheng +4 more
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On one approximate method for recovering a function from its autocorrelation function
Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2022 Background. When solving many physical and technical problems, a situation arises when only operators (functionals) from the objects under study (signals, images, etc.) are available for observations (measurements). It is required to restore the object
I.V. Boykov, A.A. Pivkina
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Multiscale Modeling in Systems Biology: Methods and Perspectives
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, 2021 In the last decades, mathematical and computational models have become ubiquitous to the field of systems biology. Specifically, the multiscale nature of biological processes makes the design and simulation of such models challenging.
A. Coulier
semanticscholar +1 more source
A new multi-offspring crossover operator for genetic algorithm to facilitate the traveling salesman problem [PDF]
Computer Science Journal of Moldova, 2019 This research work provides a detailed working principle and official analysis of a multi-offspring crossover operator. The proposed operator explains the true theory of survival-of-fittest using the foundation of evolutionary theories of biology and ...
Abid Hussain, Salman A. Cheema
doaj
Higher-Order Multiplicative Derivative Iterative Scheme to Solve the Nonlinear Problems
Mathematical and Computational Applications, 2023 Grossman and Katz (five decades ago) suggested a new definition of differential and integral calculus which utilizes the multiplicative and division operator as compared to addition and subtraction.
Gurjeet Singh +2 more
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Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species. [PDF]
PLoS ONE, 2017 Genes that are indispensable for survival are essential genes. Many features have been proposed for computational prediction of essential genes. In this paper, the least absolute shrinkage and selection operator method was used to screen key sequence ...
Xiao Liu +4 more
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Systematic analyses of a novel circRNA-related miRNAs prognostic signature for Cervical Cancer
Genetics and Molecular Biology, 2022 Accumulating evidences shed light on the important roles of Circular RNAs (circRNAs) acting as competing endogenous RNAs (ceRNAs) in cervical cancer (CC) biology.
Shasha Wang, Songying Zhang
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Universal relations in the self-assembly of proteins and RNA [PDF]
, 2014 Concepts rooted in physics are becoming increasingly important in biology as we transition to an era in which quantitative descriptions of all processes from molecular to cellular level are needed. In this essay I discuss two unexpected findings of universal behavior, uncommon in biology, in the self-assembly of proteins and RNA.
arxiv +1 more source
Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019 Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions.
Y. Antonacci +4 more
semanticscholar +1 more source
Bayesian inversion of a diffusion model with application to biology
Journal of Mathematical Biology, 2021 A common task in experimental sciences is to fit mathematical models to real-world measurements to improve understanding of natural phenomenon (reverse-engineering or inverse modelling).
J. Croix +2 more
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