Results 1 to 10 of about 3,526,368 (119)
Graph Neural Networks for Medical Imaging Analysis and Biological Data: Integrating Topology, Geometry, Radiomics, and Generative AI [PDF]
BioengineeringGraph neural networks (GNNs) are increasingly used for medical imaging analysis and biological data modeling, where the integration of radiomics, topology, geometry, and generative artificial intelligence (AI) may improve representation learning from ...
Yashbir Singh +10 more
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OBTAINING UNIQUE BY ANALYZING DNA USING A NEURO-FUZZY ALGORITHM [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2023 In this study, the problems of accurate exemplification and a trustworthy test for judging DNA base-calling were discussed. The study of this problem was done by utilizing a model to gather data and develop a suitable design according to the problem's ...
Thaaer Asman +2 more
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Binary Sand Cat Swarm Optimization Algorithm for Wrapper Feature Selection on Biological Data
Biomimetics, 2023 In large datasets, irrelevant, redundant, and noisy attributes are often present. These attributes can have a negative impact on the classification model accuracy.
Amir Seyyedabbasi
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Brazilian Journal of Biology, 2022 The growth of Haematococcus pluvialis in two alternative culture media NPK (10:10:10) and ME (macrophyte extract), under mixotrophic conditions using sugarcane molasses as a carbon source were evaluated for 28 days. The molasses was used in two different
L. H. Sipaúba-Tavares +4 more
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F1000Research, 2022 Sustainability of research infrastructures (RIs) is a big challenge for funders, stakeholders and operators, and the development and adoption of adequate management tools is a major concern, namely tools for monitoring and evaluating their performance ...
Jorge S. Oliveira +4 more
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Biology, 2023 Predictive models based on empirical similarity are instrumental in biology and data science, where the premise is to measure the likeness of one observation with others in the same dataset.
Jeniffer D. Sanchez +5 more
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European Journal of Taxonomy, 2021 A new millipede species of the genus Sechelleptus Mauriès, 1980 is described and illustrated from Mayotte Island, Indian Ocean. This new species, S. arborivagus sp. nov., found on trees, looks particularly similar to the sympatric S.
Didier VandenSpiegel +2 more
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The Art of Bioinformatics Learning in Our Arabic World
Highlights in BioScience, 2019 Bioinformatics became a significant field in life sciences that, draws a number of researchers and extends into a wide range of biological disciplines. Rendering bioinformatics analysis techniques are the most desirable skills in a variety of scholarship
Alsamman M. Alsamman
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How to approach machine learning-based prediction of drug/compound–target interactions
Journal of Cheminformatics, 2023 The identification of drug/compound–target interactions (DTIs) constitutes the basis of drug discovery, for which computational predictive approaches have been developed. As a relatively new data-driven paradigm, proteochemometric (PCM) modeling utilizes
Heval Atas Guvenilir, Tunca Doğan
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Entropic imprints on bioinformatics [PDF]
Big Data and Computing VisionsThe entropic framework is a crucial method in statistical inference that helps scientists create models to describe and predict biological systems, particularly complex networks like gene interactions. Its effectiveness comes from its simple concepts and
Ismail Mageed
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