[HTML][HTML] A review of SARS-CoV-2 drug repurposing: Databases and machine learning models

M Elkashlan, RM Ahmad, M Hajar, F Al Jasmi… - Frontiers in …, 2023 - frontiersin.org
The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
posed a serious worldwide threat and emphasized the urgency to find efficient solutions to …

[HTML][HTML] Metabolomics: A useful tool for ischemic stroke research

W Li, C Shao, C Li, H Zhou, L Yu, J Yang, H Wan… - Journal of …, 2023 - Elsevier
Ischemic stroke (IS) is a multifactorial and heterogeneous disease. Despite years of studies,
effective strategies for the diagnosis, management and treatment of stroke are still lacking in …

[HTML][HTML] Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation

KC Flynn, G Baath, TO Lee, P Gowda… - … and Electronics in …, 2023 - Elsevier
Hyperspectral remote sensing provides opportunity for a nondestructive tool for estimating
biochemical or biophysical characteristics of agricultural crops. Importantly, among rotational …

[HTML][HTML] Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress

L Nazari, MF Aslan, K Sabanci, E Ropelewska - Scientific Reports, 2023 - nature.com
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …

ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants

UK Pradhan, PK Meher, S Naha, AR Rao… - Functional & Integrative …, 2023 - Springer
Abiotic stresses have become a major challenge in recent years due to their pervasive
nature and shocking impacts on plant growth, development, and quality. MicroRNAs …

Hessian scatter regularized twin support vector machine for semi-supervised classification

G Yu, J Ma, C Xie - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Currently, semi-supervised twin support vector machine based on Laplacian regularization
(LapTSVM) have received extensive attention and research in many fields of machine …

[HTML][HTML] Parkinson's disease gene biomarkers screened by the LASSO and SVM algorithms

Y Bao, L Wang, F Yu, J Yang, D Huang - Brain Sciences, 2023 - mdpi.com
Parkinson's disease (PD) is a common progressive neurodegenerative disorder. Various
evidence has revealed the possible penetration of peripheral immune cells in the substantia …

[HTML][HTML] Machine learning model based on insulin resistance metagenes underpins genetic basis of type 2 diabetes

A Saxena, N Mathur, P Pathak, P Tiwari, SK Mathur - Biomolecules, 2023 - mdpi.com
Insulin resistance (IR) is considered the precursor and the key pathophysiological
mechanism of type 2 diabetes (T2D) and metabolic syndrome (MetS). However, the …

[HTML][HTML] Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

R Khatun, M Akter, MM Islam, MA Uddin, MA Talukder… - Genes, 2023 - mdpi.com
Biomarker-based cancer identification and classification tools are widely used in
bioinformatics and machine learning fields. However, the high dimensionality of microarray …

[HTML][HTML] Bioinformatics approaches applied to the discovery of antifungal peptides

C Rodriguez-Cerdeira, A Molares-Vila… - Antibiotics, 2023 - mdpi.com
Antifungal peptides (AFPs) comprise a group of substances with a broad spectrum of
activities and complex action mechanisms. They develop in nature via an evolutionary …