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An overview of machine learning and deep learning techniques for predicting epileptic seizures
In this study, we review the current state of machine learning in the detection and prediction of epileptic seizures. The objective of this study is to portray the existing machine learning methods for seizure prediction. Internet bibliographical searches were conducted to identify relevant literature on the topic. Through cross-referencing from key articles, additional references were obtained to provide a comprehensive overview of the techniques. As the aim of this paper aims is not a pure bibliographical review of the subject, the publications here cited have been selected among many others based on their number of cita...
Source: Journal of integrative bioinformatics - December 15, 2023 Category: Bioinformatics Authors: Marco Zurdo-Tabernero Ángel Canal-Alonso Fernando de la Prieta Sara Rodr íguez Javier Prieto Juan Manuel Corchado Source Type: research

SAMNA: accurate alignment of multiple biological networks based on simulated annealing
J Integr Bioinform. 2023 Dec 14. doi: 10.1515/jib-2023-0006. Online ahead of print.ABSTRACTProteins are important parts of the biological structures and encode a lot of biological information. Protein-protein interaction network alignment is a model for analyzing proteins that helps discover conserved functions between organisms and predict unknown functions. In particular, multi-network alignment aims at finding the mapping relationship among multiple network nodes, so as to transfer the knowledge across species. However, with the increasing complexity of PPI networks, how to perform network alignment more accurately and ...
Source: Journal of integrative bioinformatics - December 14, 2023 Category: Bioinformatics Authors: Jing Chen Zixiang Wang Jia Huang Source Type: research

Application of Artificial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management
J Integr Bioinform. 2023 Dec 12. doi: 10.1515/jib-2023-0014. Online ahead of print.ABSTRACTApplications of Artificial Intelligence in medical informatics solutions risk sharing have social value. At a time of ever-increasing cost for the provision of medicines to citizens, there is a need to restrain the growth of health care costs. The search for computer technologies to stop or slow down the growth of costs acquires a new very important and significant meaning. We discussed the two information technologies in pharmacotherapy and the possibility of combining and sharing them, namely the combination of risk-sharing agreeme...
Source: Journal of integrative bioinformatics - December 11, 2023 Category: Bioinformatics Authors: Grigory A Oborotov Konstantin A Koshechkin Yuriy L Orlov Source Type: research

Application of Articifial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management
J Integr Bioinform. 2023 Dec 12. doi: 10.1515/jib-2023-0014. Online ahead of print.ABSTRACTApplications of Artificial Intelligence in medical informatics solutions risk sharing have social value. At a time of ever-increasing cost for the provision of medicines to citizens, there is a need to restrain the growth of health care costs. The search for computer technologies to stop or slow down the growth of costs acquires a new very important and significant meaning. We discussed the two information technologies in pharmacotherapy and the possibility of combining and sharing them, namely the combination of risk-sharing agreeme...
Source: Journal of integrative bioinformatics - December 11, 2023 Category: Bioinformatics Authors: Grigory A Oborotov Konstantin A Koshechkin Yuriy L Orlov Source Type: research

Data literacy in genome research
J Integr Bioinform. 2023 Dec 5. doi: 10.1515/jib-2023-0033. Online ahead of print.ABSTRACTWith an ever increasing amount of research data available, it becomes constantly more important to possess data literacy skills to benefit from this valuable resource. An integrative course was developed to teach students the fundamentals of data literacy through an engaging genome sequencing project. Each cohort of students performed planning of the experiment, DNA extraction, nanopore sequencing, genome sequence assembly, prediction of genes in the assembled sequence, and assignment of functional annotation terms to predicted genes....
Source: Journal of integrative bioinformatics - December 4, 2023 Category: Bioinformatics Authors: Katharina Wolff Ronja Friedhoff Friderieke Schwarzer Boas Pucker Source Type: research

TidyGEO: preparing analysis-ready datasets from Gene Expression Omnibus
J Integr Bioinform. 2023 Dec 5. doi: 10.1515/jib-2023-0021. Online ahead of print.ABSTRACTTidyGEO is a Web-based tool for downloading, tidying, and reformatting data series from Gene Expression Omnibus (GEO). As a freely accessible repository with data from over 6 million biological samples across more than 4000 organisms, GEO provides diverse opportunities for secondary research. Although scientists may find assay data relevant to a given research question, most analyses require sample-level annotations. In GEO, such annotations are stored alongside assay data in delimited, text-based files. However, the structure and sem...
Source: Journal of integrative bioinformatics - December 4, 2023 Category: Bioinformatics Authors: Avery Mecham Ashlie Stephenson Badi I Quinteros Grace S Brown Stephen R Piccolo Source Type: research