Results 91 to 100 of about 8,428,042 (339)

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

Mining Frequent Itemsets Using Genetic Algorithm

, 2010
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent ...
Biswas, Sushanta, Ghosh, Soumadip, Sarkar, Debasree, Sarkar, Partha Pratim   +3 more
core   +2 more sources

A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems

Operational Research, 2012
We propose an algorithmic framework that successfully addresses three vehicle routing problems: the multidepot VRP, the periodic VRP, and the multidepot periodic VRP with capacitated vehicles and constrained route duration. The metaheuristic combines the
Thibaut Vidal, T. Crainic, M. Gendreau, N. Lahrichi, W. Rei   +4 more
semanticscholar   +1 more source

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Genetic Algorithms and its use with back-propagation network [PDF]

AIN Shams University, Faculty of Engineering Scientific Bulletin, Volume 35, Issue 3, pp 337-348 (2000), 2014
Genetic algorithms are considered as one of the most efficient search techniques. Although they do not offer an optimal solution, their ability to reach a suitable solution in considerably short time gives them their respectable role in many AI techniques. This work introduces genetic algorithms and describes their characteristics.
arxiv  

Genetic algorithms for auto-tuning mobile robot motion control [PDF]

, 2002
This paper discusses a genetic algorithm (GA) based method for automatically tuning mobile robot motion controllers. The genetic algorithm evolves a controller that is optimised for a given performance measure. Genetic algorithms require a mapping from
Messom, Chris
core  

Choosing Mutation and Crossover Ratios for Genetic Algorithms - A Review with a New Dynamic Approach

Inf., 2019
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of evolution and natural selection theory and is under the umbrella of evolutionary computing algorithm.
Ahmad Hassanat, Khalid Almohammadi, Esra’a Alkafaween, Eman Abunawas, A. Hammouri, V. B. Surya Prasath   +5 more
semanticscholar   +1 more source

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

Molecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak, Żaneta Zarębska, Marcin P. Sajek, Adriana Grabowska, Alessia Buratin, Paweł Głodowicz, Julia O. Misiorek, Konrad Kuczyński, Stefania Bortoluzzi, Marek Żywicki, Jan G. Kosiński, Agnieszka Rybak‐Wolf, Rafał Piestrzeniewicz, Anna M. Barciszewska, Katarzyna Rolle   +14 more
wiley   +1 more source

A Novel RPL Algorithm Based on Chaotic Genetic Algorithm

Sensors, 2018
RPL (routing protocol for low-power and lossy networks) is an important candidate routing algorithm for low-power and lossy network (LLN) scenarios. To solve the problems of using a single routing metric or no clearly weighting distribution theory of ...
Yanan Cao, Muqing Wu
doaj   +1 more source

Systematic Testing of Genetic Algorithms: A Metamorphic Testing based Approach [PDF]

arXiv, 2018
Genetic Algorithms are a popular set of optimization algorithms often used to aid software testing. However, no work has been done to apply systematic software testing techniques to genetic algorithms because of the stochasticity and the lack of known outputs for genetic algorithms.
arxiv