Results 101 to 110 of about 813,318 (331)
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Using Genetic Algorithms for Building Metrics of Collaborative Systems [PDF]
he paper objective is to reveal the importance of genetic algorithms in building robust metrics of collaborative systems. The main types of collaborative systems in economy are presented and some characteristics of genetic algorithms are described.
Cristian CIUREA
core
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic [PDF]
, 2017 Qiang Lu, Kyoung-Dae Kim
openalex +1 more source
Design of WebGIS transportation and distribution system based on the genetic algorithm [PDF]
, 2021 Hongbo Hao, Fengzhi Dai
openalex +1 more source
Interplay between RNA‐protein interactions and RNA structures in gene regulation
FEBS Open Bio, EarlyView.Methodological advances in mapping transcriptome‐wide RNA‐protein interactions and RNA structures have started to uncover the potential of RNP conformations in gene regulation. Competing RNA–RNA, RNA‐protein and protein–protein interactions shape the compaction and function of RNPs throughout their lifetime and may provide novel therapeutic targets in ...
Jenni Rapakko +2 more
wiley +1 more source
Applied SciencesGenetic Algorithms (GAs) are pillars of evolutionary computing and one of the most well-known population-based metaheuristic optimisation techniques. They are widely used in engineering and applied optimisation problems for their capabilities in finding ...
Cagatay Cebeci, Oğuzhan Timur
doaj +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Optimal Design of a Cam Mechanism with Translating Flat-Face Follower using Genetic Algorithm [PDF]
Tribology in Industry, 2013 The optimum design of a cam mechanism is a time consuming task, due to the numerous alternatives considerations. In the present work, the problem of design parameters optimization of a cam mechanism with translating flat - face follower is investigated ...
I. Tsiafis +3 more
doaj
Genetic Algorithm Based Feature Selection Technique for Electroencephalography Data
Applied Computer Systems, 2019 High dimensionality is a well-known problem that has a huge number of highlights in the data, yet none is helpful for a particular data mining task undertaking, for example, classification and grouping. Therefore, selection of features is used frequently
Ali Tariq +2 more
doaj +1 more source