Results 11 to 20 of about 1,986,261 (302)

An Experimental Investigation on Output Power Enhancement With Offline Reconfiguration for Non-Uniform Aging Photovoltaic Array to Maximise Economic Benefit

open access: yesIEEE Access, 2021
There are several non-uniform effects on photovoltaic (PV) modules related to aging in a PV array. These subsequently bring about non-uniform operating parameters with individual PV modules, causing a variance in the PV array performance.
Mohammed Alkahtani   +5 more
doaj   +1 more source

Evaluating the reproducibility of single-cell gene regulatory network inference algorithms [PDF]

open access: yesFrontiers in Genetics, 2020
Abstract Networks are powerful tools to represent and investigate biological systems. The development of algorithms inferring regulatory interactions from functional genomics data has been an active area of research. With the advent of single-cell RNA-seq data (scRNA-seq), numerous methods specifically designed to take advantage of ...
Yoonjee Kang   +2 more
openaire   +3 more sources

Investigating Fourteen Countries to Maximum the Economy Benefit by Using Offline Reconfiguration for Medium Scale PV Array Arrangements

open access: yesEnergies, 2020
Over the past few years, electricity demand has been on the rise. This has resulted in renewable energy resources being used rapidly, considering the shortage as well as the environmental impacts of fossil fuel.
Mohammed Alkahtani   +6 more
doaj   +1 more source

Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms [PDF]

open access: yesThe American Journal of Human Genetics, 2018
Genome-wide association studies (GWAS) are valuable for understanding human biology, but associated loci typically contain multiple associated variants and genes. Thus, algorithms that prioritize likely causal genes and variants for a given phenotype can provide biological interpretations of association data.
Fine, Rebecca S.   +4 more
openaire   +3 more sources

A Coherent Pattern Mining Algorithm Based on All Contiguous Column Bicluster

open access: yesJournal of Artificial Intelligence and Technology, 2022
Microarray contains a large matrix of information and has been widely used by biologists and bio data scientist for monitoring combinations of genes in different organisms. The coherent patterns in all continuous columns are mined in gene microarray data
Xiaohui Hu   +5 more
semanticscholar   +1 more source

From knockouts to networks: establishing direct cause-effect relationships through graph analysis. [PDF]

open access: yesPLoS ONE, 2010
BACKGROUND: Reverse-engineering gene networks from expression profiles is a difficult problem for which a multitude of techniques have been developed over the last decade.
Andrea Pinna   +3 more
doaj   +1 more source

Parameterless Gene-Pool Optimal Mixing Evolutionary Algorithms [PDF]

open access: yesEvolutionary Computation, 2021
When it comes to solving optimization problems with evolutionary algorithms (EAs) in a reliable and scalable manner, detecting and exploiting linkage information, that is, dependencies between variables, can be key.
A. Dushatskiy   +4 more
semanticscholar   +1 more source

A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data [PDF]

open access: yesBioData Mining, 2012
Abstract Background Several biclustering algorithms have been proposed to identify biclusters, in which genes share similar expression patterns across a number of conditions. However, different algorithms would yield different biclusters and further lead to distinct conclusions. Therefore, some testing and comparisons
Li Li   +5 more
openaire   +3 more sources

Detecting Cooperativity between Transcription Factors Based on Functional Coherence and Similarity of Their Target Gene Sets. [PDF]

open access: yesPLoS ONE, 2016
In eukaryotic cells, transcriptional regulation of gene expression is usually achieved by cooperative transcription factors (TFs). Therefore, knowing cooperative TFs is the first step toward uncovering the molecular mechanisms of gene expression ...
Wei-Sheng Wu, Fu-Jou Lai
doaj   +1 more source

A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms

open access: yesFrontiers in Neuroscience, 2022
An IA is an abnormal swelling of cerebral vessels, and a subset of these IAs can rupture causing aneurysmal subarachnoid hemorrhage (aSAH), often resulting in death or severe disability.
Qingqing Li   +9 more
doaj   +1 more source

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