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IEEE/ACM Transactions on Computational Biology and Bioinformatics is a peer-reviewed journal published by IEEE, covering Bioinformatics and Genomic Networks, Gene expression and cancer classification, Machine Learning in Bioinformatics.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE/ACM Transactions on Computational Biology and Bioinformatics style. No sign-up. |
| Publishes research in | Bioinformatics and Genomic Networks Gene expression and cancer classification Machine Learning in Bioinformatics Genomics and Phylogenetic Studies Computational Drug Discovery Methods |
| ISSN | 1545-5963 |
| Citation impact (2-yr) | 5.01 |
| h-index | 113 |
| i10-index | 1,888 |
| Total citations | 85,981 |
| Top institutions publishing here | Central South University |
| Journal website | www.computer.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
A large number of clustering approaches have been proposed for the analysis of gene expression data obtained from microarray experiments. However, the results from the application of standard clustering methods to genes are limited. This limitation is imposed by the existence of a number of experimental conditions where the activity of genes is uncorrelated. A…
A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a pneumonia outbreak world-widely. As the COVID-19 continues to spread rapidly across the world, computed tomography (CT) has become essentially important for fast diagnoses. Thus, it is urgent to develop an accurate computer-aided method to assist clinicians to identify COVID-19-infected patients…
Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world population and 15 percent of the South African population. The early and cheap diagnosis of this disease with accuracy and reliability will save 20,000 lives in South Africa per year. Scientists are developing smart solutions with Artificial Intelligence (AI). In…
Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up to hundreds of thousands of features with relatively small sample size. Because learning algorithms usually do not work well with this kind of…
A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas like combinatorial chemistry, text mining, multivariate imaging, or bioinformatics. As a general accepted…
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