Results 101 to 110 of about 828,986 (313)

GA/SA-based hybrid techniques for the scheduling of generator maintenance in power systems

open access: yes, 2000
YesProposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid approach for the scheduling of generator maintenance in power systems using an integer representation.
Galloway, S.J.   +3 more
core   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Aspirin resistance: clinical and molecular genetic evaluation techniques

open access: yesАнналы клинической и экспериментальной неврологии, 2017
The article discusses the issues related to the personalization of preventive measures for ischemic stroke, in particular those associated with resistance to one of the most common antiplatelet drugs, aspirin.
M. M. Tanashyan   +2 more
doaj   +1 more source

Power systems generation scheduling and optimisation using evolutionary computation techniques

open access: yes, 1996
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Optimal generation scheduling attempts to minimise the cost of power production while satisfying the various operation constraints and physical limitations ...
Orero, S.O, Orero, Shadrack Otieno
core  

A hybrid decision tree/genetic algorithm method for data mining [PDF]

open access: yes, 2004
This paper addresses the well-known classification task of data mining, where the objective is to predict the class which an example belongs to. Discovered knowledge is expressed in the form of high-level, easy-to-interpret classification rules.
Carvalho, Deborah R., Freitas, Alex A.
core   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

open access: yesMolecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce   +11 more
wiley   +1 more source

Comparison of multiple watermarking techniques using genetic algorithms

open access: yesJournal of Electrical Systems and Information Technology, 2016
Multiple watermarking is used to share the copyright of multiple users, increase robustness and high security. The proposed method is comparison of multiple-watermarking techniques based on Discrete Wavelet Transform and Singular Value Decomposition ...
N. Mohananthini, G. Yamuna
doaj   +1 more source

Statistical validation of genetic models

open access: yes, 2001
Various aspects of statistical validation of genetic models are reviewed. Possible ways of decomposing additive genetic variance over time and ways of comparing predictions at different times are suggested.
Robin Thompson, Thompson, R.
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

A search algorithm for global optimisation [PDF]

open access: yes, 2005
This paper investigates a global search optimisation technique, referred to as the repeated weighted boosting search. The proposed optimisation algorithm is extremely simple and easy to implement.
Wang, X.X.   +5 more
core   +1 more source

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