Results 71 to 80 of about 8,428,042 (339)

Genetic Algorithm for SU(2) Gauge Theory on a 2-dimensional Lattice [PDF]

open access: yes, 1998
An algorithm is proposed for the simulation of pure SU(N) lattice gauge theories based on Genetic Algorithms(GAs). We apply GAs to SU(2) pure gauge theory on a 2 dimensional lattice and show the results, the action per plaquette and Wilson loops, are ...
A. Yamaguchi, Baker, Holland, Holland
core   +3 more sources

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

Genetic Algorithm for Solving Simple Mathematical Equality Problem [PDF]

open access: yesarXiv, 2013
This paper explains genetic algorithm for novice in this field. Basic philosophy of genetic algorithm and its flowchart are described. Step by step numerical computation of genetic algorithm for solving simple mathematical equality problem will be briefly ...
arxiv  

Genetic algorithm formulation and tuning with use of test functions [PDF]

open access: yesarXiv, 2022
This work discusses single-objective constrained genetic algorithm with floating-point, integer, binary and permutation representation. Floating-point genetic algorithm tuning with use of test functions is done and leads to a parameterization with comparatively outstanding performance.
arxiv  

PDGA: The primal-dual genetic algorithm [PDF]

open access: yes, 2003
Copyright @ 2003 IOS PressGenetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the performance of GAs.
Yang, S
core   +1 more source

Inhibition of acyl‐CoA synthetase long‐chain isozymes decreases multiple myeloma cell proliferation and causes mitochondrial dysfunction

open access: yesMolecular Oncology, EarlyView.
Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy   +12 more
wiley   +1 more source

TEXTURE SYNTHESIS BY GENETIC ALGORITHM

open access: yesJournal of Engineering, 2007
One way to synthesis texture in a fast and easy way is image quilting proposed by Efros and Freeman in 2001. This research brings the adaptive search power of genetic algorithm and combines it with the concept of image quilting to propose new texture ...
Mayada F. Abdul-Halim Abdul-Halim
doaj   +1 more source

The new classes of the genetic algorithms are defined by nonassociative groupoids [PDF]

open access: yesarXiv, 2012
The genetic product of the groupoids, originating in the theory of DNA recombination, is introduced. It permits a natural generalization of the classical genetic algorithm. The full characterization of all three-element genetic groupoids gives an approach to construct the new classes of genetic algorithms.
arxiv  

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

open access: yesMolecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

open access: yesMolecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin   +14 more
wiley   +1 more source

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