Results 31 to 40 of about 2,170,661 (326)
Comparison of algorithms for the analysis of Affymetrix microarray data as evaluated by co-expression of genes in known operons [PDF]
Nucleic Acids Research, 2006 Oligonucleotide microarrays are an informative tool to elucidate gene regulatory networks. In order for gene expression levels to be comparable across microarrays, normalization procedures have to be invoked. A large number of methods have been described to correct for systematic biases in microarray experiments.
Harr, Bettina, Schlötterer, Christian
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Gene selection algorithms for microarray data based on least squares support vector machine
BMC Bioinformatics, 2006 Background In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary to conduct the discriminant analysis with all the genes.
Suganthan PN, Tang E Ke, Yao Xin
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Scientific Reports, 2022 Breast adenocarcinoma is the most common of all cancers that occur in women. According to the United States of America survey, more than 282,000 breast cancer patients are registered each year; most of them are women.
Asghar Ali Shah +4 more
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Author Impact: Evaluations, Predictions, and Challenges
IEEE Access, 2019 Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of the author impact evaluation and prediction. Then, we review the recent developments of the author
Fuli Zhang, Xiaomei Bai, Ivan Lee
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Preparation and characterization of magnetite (Fe3O4) nanoparticles By Sol-Gel method [PDF]
, 2019 The magnetite (Fe3O4) nanoparticles were successfully synthesized and annealed under vacuum at different temperature. The Fe3O4 nanoparticles prepared via sol-gel assisted method and annealed at 200-400ºC were characterized by Fourier Transformation ...
A. Sekak, Khairunnadim +3 more
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Fuzzy C means Based Evaluation Algorithms For Cancer Gene Expression Data Clustering
Iraqi Journal for Computer Science and Mathematics, 2022 The influx of data in bioinformatics is primarily in the form of DNA, RNA, and protein sequences. This condition places a significant burden on scientists and computers. Some genomics studies depend on clustering techniques to group similarly expressed genes into one cluster.
Omar Al-Janabee, Basad Al-Sarray
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Journal of Nuclear Medicine, 2015 Q.Clear, a Bayesian penalized-likelihood reconstruction algorithm for PET, was recently introduced by GE Healthcare on their PET scanners to improve clinical image quality and quantification.
E. Teoh +4 more
semanticscholar +1 more source
FreePSI: an alignment-free approach to estimating exon-inclusion ratios without a reference transcriptome. [PDF]
, 2017 Alternative splicing plays an important role in many cellular processes of eukaryotic organisms. The exon-inclusion ratio, also known as percent spliced in, is often regarded as one of the most effective measures of alternative splicing events.
Jiang, Tao +4 more
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RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks. [PDF]
PLoS ONE, 2011 RegnANN is a novel method for reverse engineering gene networks based on an ensemble of multilayer perceptrons. The algorithm builds a regressor for each gene in the network, estimating its neighborhood independently.
Marco Grimaldi +2 more
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Evolutionary Computation in High Energy Physics [PDF]
, 2008 Evolutionary Computation is a branch of computer science with which, traditionally, High Energy Physics has fewer connections. Its methods were investigated in this field, mainly for data analysis tasks. These methods and studies are, however, less known
Teodorescu, Liliana
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