Results 71 to 80 of about 1,398,187 (332)

Network assisted analysis to reveal the genetic basis of autism

open access: yes, 2015
While studies show that autism is highly heritable, the nature of the genetic basis of this disorder remains illusive. Based on the idea that highly correlated genes are functionally interrelated and more likely to affect risk, we develop a novel ...
Lei, Jing, Liu, Li, Roeder, Kathryn
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova   +25 more
wiley   +1 more source

Warehouse location optimization in fresh cold chain logistics based on PSO-GA

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization
This study focuses on the site selection problem of fresh cold chain logistics warehouses, using a site selection model to minimize operating costs, improve distribution efficiency, and meet customer needs.
Guo Lina, Wei Yi
doaj   +1 more source

Modelling of a Roulette Wheel Selection Operator in Genetic Algorithms Using Generalized Nets [PDF]

open access: yesBioautomation, 2009
The apparatus of Generalized Nets (GN) is applied here to a description of a selection operator, which is one of the basic genetic algorithm operators. The GN model presented here describes roulette wheel selection.
Pencheva T., Atanassov K., Shannon A.
doaj  

Genetic Algorithm Based Feature Selection Technique for Electroencephalography Data

open access: yesApplied 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

Feature Selection for Image Retrieval based on Genetic Algorithm

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2016
This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction such as colour, texture and shape.
Rashmi R. Welekar, Preeti Kushwaha
doaj   +1 more source

An efficient methodology for discovering both of gene-environment interactions and gene-gene interactions causing genetic diseases

open access: yesEgyptian Informatics Journal, 2020
Genetic diseases are one of the most critical diseases facing human societies, their risk lies in the transmission of genetic characteristics from one generation to another, where the imbalance of these characteristics leads to an unhealthy offspring ...
Mohamed A. El-Rashidy
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

A Selection Process for Genetic Algorithm Using Clustering Analysis

open access: yesAlgorithms, 2017
This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase ...
Adam Chehouri   +4 more
doaj   +1 more source

Extracting galactic binary signals from the first round of Mock LISA Data Challenges

open access: yes, 2007
We report on the performance of an end-to-end Bayesian analysis pipeline for detecting and characterizing galactic binary signals in simulated LISA data.
  +17 more
core   +1 more source

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