Results 51 to 60 of about 5,527,579 (363)
Molecular Oncology, EarlyView.Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla +5 more
wiley +1 more source
AIAccurately forecasting power consumption is crucial important for efficient energy management. Machine learning (ML) models are often employed for this purpose. However, tuning their hyperparameters is a complex and time-consuming task.
Aleksei Vakhnin +3 more
doaj +1 more source
Applied Sciences, 2018 The friction interference in the pneumatic rotary actuator is the primary factor affecting the position accuracy of a pneumatic rotary actuator servo system.
Ke Li +3 more
doaj +1 more source
Stability of evolutionary algorithms
Journal of Mathematical Analysis and Applications, 2008 AbstractWe prove under mild conditions the convergence of some evolutionary algorithm to the solution of the global optimization problem. In the proof, the Lyapunov function's techniques is applied to some semi-dynamical system generated by a Foias operator on the space of the probability measures defined on the set of admissible solutions.
openaire +3 more sources
Evolutionary Algorithms for the Satisfiability Problem [PDF]
Evolutionary Computation, 2002 Several evolutionary algorithms have been proposed for the satisfiability problem. We review the solution representations suggested in literature and choose the most promising one the bit string representation for further evaluation. An empirical comparison on commonly used benchmarks is presented for the most successful evolutionary algorithms and ...
Jens Gottlieb +2 more
openaire +4 more sources
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
IEEE Transactions on Evolutionary Computation, 2016 Many-objective optimization has posed a great challenge to the classical Pareto dominance-based multiobjective evolutionary algorithms (MOEAs). In this paper, an evolutionary algorithm based on a new dominance relation is proposed for many-objective ...
Yuan Yuan, Hua Xu, Bo D. Wang, X. Yao
semanticscholar +1 more source
Molecular Oncology, EarlyView.In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton +17 more
wiley +1 more source
Particle Swarm Optimization with Independent Adaptive Parameter Adjustment
Jisuanji kexue yu tansuo, 2020 Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
doaj +1 more source
On the Analysis of Evolutionary Algorithms [PDF]
, 2001 There is a lot of experimental evidence that crossover is, for some functions, an essential operator of evolutionary algorithms. Nevertheless, it was an open problem to prove for some function that an evolutionary algorithm using crossover is essentially more efficient than evolutionary algorithms without crossover.
Jansen, Thomas, Wegener, Ingo
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Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
Molecular Oncology, EarlyView.The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias +12 more
wiley +1 more source