Results 41 to 50 of about 1,986,261 (302)
BMC Medical Informatics and Decision Making, 2021 Background Gene expression data play an important role in bioinformatics applications. Although there may be a large number of features in such data, they mainly tend to contain only a few samples.
Saeid Azadifar, Ali Ahmadi
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International Journal of Mycobacteriology, 2012 Conventional biochemical tests are the standard for the identification of Mycobacterium species, but molecular identifications are becoming more prevalent. The rpoB gene encodes the β-subunit of RNA polymerase and is utilized for the identification of Mycobacterium species. In the present study, a stepwise Mycobacterium species identification algorithm
Yuko Kazumi, Satoshi Mitarai
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BMC Bioinformatics, 2008 Background The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a number of different ways to identify cell cycle dependent genes. In this study,
Tcha Hong, Bae Cheol, Kim Chang
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Big Data and Cognitive Computing, 2022 Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data).
Changwon Yoo +3 more
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Evolving Deep Convolutional Neural Networks for Image Classification [PDF]
IEEE Transactions on Evolutionary Computation, 2017 Evolutionary paradigms have been successfully applied to neural network designs for two decades. Unfortunately, these methods cannot scale well to the modern deep neural networks due to the complicated architectures and large quantities of connection ...
Y. Sun, Bing Xue, Mengjie Zhang, G. Yen
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Comparative evaluation of isoform-level gene expression estimation algorithms for RNA-seq and exon-array platforms [PDF]
Briefings in Bioinformatics, 2016 Given that the majority of multi-exon genes generate diverse functional products, it is important to evaluate expression at the isoform level. Previous studies have demonstrated strong gene-level correlations between RNA sequencing (RNA-seq) and microarray platforms, but have not studied their concordance at the isoform level.
Matthew Dapas +3 more
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BMC Cancer, 2022 Background In this study, we performed a molecular evaluation of primary pancreatic adenocarcinoma (PAAD) based on the comprehensive analysis of energy metabolism-related gene (EMRG) expression profiles.
Cong Tan +10 more
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Results in Physics, 2021 The study aims to explore application of RNAIII inhibiting peptide (RIP) and image information counting algorithm in the rehabilitation treatment plan of staphylococcus aureus infection in old people’s bone and joint.
Hong Ye +7 more
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EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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A Hybrid Anti-notch/Goertzel Model for Gene Prediction in DNA Sequences [PDF]
Applied Medical Informatics, 2014 Accurate detection of the exon regions in DNA sequences using signal processing tools has become a challenge in bioinformatics. In this paper, a hybrid Anti-notch/Goertzel algorithm has been presented for gene selection in DNA sequences.
Hamidreza Saberkari SABERKARI +2 more
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