Write in a clean editor, then format for BioData Mining in one click — DocuGuru applies the official BMC (BioMed Central) template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
BioData Mining is a peer-reviewed journal published by BMC (BioMed Central), covering Bioinformatics and Genomic Networks, Gene expression and cancer classification, Genetic Associations and Epidemiology. Over its lifetime it has published 688 papers, which have received 17,785 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. BioData Mining. 2023;12(3):45–58.
Formats any DOI in BioData Mining style. No sign-up. |
| Publishes research in | Bioinformatics and Genomic Networks Gene expression and cancer classification Genetic Associations and Epidemiology Machine Learning in Bioinformatics Genomics and Rare Diseases |
| ISSN | 1756-0381 |
| Citation impact (2-yr) | 5.55 |
| h-index | 58 |
| i10-index | 318 |
| Article processing charge | $2,072 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | University of Pennsylvania |
| Journal website | biodatamining.biomedcentral.com |
| 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.
Machine learning has become a pivotal tool for many projects in computational biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical researchers often do not have enough experience to run a data mining project effectively, and therefore can follow incorrect practices, that may lead to common mistakes or over-optimistic results. With this review, we present…
Abstract Evaluating binary classifications is a pivotal task in statistics and machine learning, because it can influence decisions in multiple areas, including for example prognosis or therapies of patients in critical conditions. The scientific community has not agreed on a general-purpose statistical indicator for evaluating two-class confusion matrices (having true positives, true negatives, false positives,…
Understanding complex systems often requires a bottom-up analysis towards a systems biology approach. The need to investigate a system, not only as individual components but as a whole, emerges. This can be done by examining the elementary constituents individually and then how these are connected. The myriad components of a system and their interactions are…
BACKGROUND: Genetic studies are increasingly based on short noisy next generation scanners. Typically complete DNA sequences are assembled by matching short NextGen sequences against reference genomes. Despite considerable algorithmic gains since the turn of the millennium, matching both single ended and paired end strings to a reference remains computationally demanding. Further tailoring Bioinformatics tools to…
Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard metric to evaluate binary classifications in most scientific fields. The ROC curve has true positive rate (also called sensitivity or recall) on the y…
