Results 101 to 110 of about 46,925 (311)
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
A computational intelligence portfolio construction system for equity market trading
This paper describes an adaptive computational intelligence system for learning trading rules used in equity market trading. The rules are represented using fuzzy logic, an evolutionary process facilitates the learning process.
Thuy-Duong To +9 more
core +1 more source
Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State
We present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine learning (ML) models, focusing on dynamic adaptation to the evolutionary state.
Itai Tzruia +3 more
doaj +1 more source
Review of Reinforcement Learning and Evolutionary Computation Methods for StrategyExploration [PDF]
Reinforcement learning and evolutionary computation,as two types of nature-inspired learning paradigms,are the mainstream methods for solving strategy exploration problems,and the fusion of these two types of methods provides a general solution for ...
WANG Yao, LUO Junren, ZHOU Yanzhong, GU Xueqiang, ZHANG Wanpeng
doaj +1 more source
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Using Fast Matrix Multiplication in Bio-Inspired Computation for Complex Optimization Problems
Population-based search heuristics such as evolutionary algorithms or ant colony optimization have been widely used to tackle complex problems in combinatorial optimization.
Florian Diedrich +3 more
core +1 more source
ECoFFeS: A Software Using Evolutionary Computation for Feature Selection in Drug Discovery
Feature selection is of particular importance in the field of drug discovery. Many methods have been put forward for feature selection during recent decades.
Zhi-Zhong Liu +3 more
doaj +1 more source
From tumor‐centric to ecosystem‐based hypotheses in brain tumor research and care
Primary brain tumors, whether in adults or children, present a major challenge because of their dramatic prognosis and the ongoing lack of efficient therapeutic approaches. In recent years, a shift has occurred from tumor‐centric concepts to a more holistic view of these tumors as dynamic ecosystems.
Julie Gavard +8 more
wiley +1 more source
Evaluation of Intelligent Quantitative Hedge Fund Management
This paper examines an intelligent recommendation strategy implementation for managing a long short hedge fund and reports on performance during market conditions at the onset of the liquidity crisis.
Muneer Buckley +7 more
core +1 more source
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source

