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MONTAGE: a new tool for high-throughput detection of mosaic copy number variation
BackgroundNot all cells in a given individual are identical in their genomic makeup. Mosaicism describes such a phenomenon where a mixture of...
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Choice Modeling for the Commercial Cultivation of Underutilized Aromatic Plants for Producing Mosquito Repellents: Targeting Rural Sector Income Generation
Tropical countries face considerable economic losses due to mosquito-borne diseases which can be effectively combatted using plant-based mosquito...
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Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach
BackgroundThe site information of substrates that can be cleaved by human immunodeficiency virus 1 proteases (HIV-1 PRs) is of great significance for...
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DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection
The electrocardiogram (ECG) plays an important role in assisting clinical diagnosis such as arrhythmia detection. However, traditional techniques for...
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HormoNet: a deep learning approach for hormone-drug interaction prediction
Several experimental evidences have shown that the human endogenous hormones can interact with drugs in many ways and affect drug efficacy. The...
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Basal Stem Rot Disease Classification by Machine Learning Using Thermal Images and an Imbalanced Data Approach
Oil palm has become a commodity of global strategic importance due to its rapid expansion. Palm oil is widely utilised in food and as a biodiesel...
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Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets
BackgroundCompared to traditional supervised machine learning approaches employing fully labeled samples, positive-unlabeled (PU) learning techniques...
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Metrics reloaded: recommendations for image analysis validation
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image...
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Machine learning on alignment features for parent-of-origin classification of simulated hybrid RNA-seq
BackgroundParent-of-origin allele-specific gene expression (ASE) can be detected in interspecies hybrids by virtue of RNA sequence variants between...
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Investigation of bacterial DNA gyrase Inhibitor classification models and structural requirements utilizing multiple machine learning methods
Infections from multidrug-resistant (MDR) bacteria have emerged as a paramount global health concern, and the therapeutic effectiveness of current...
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Dysregulation of Immune Tolerance to Autologous iPSCs and Their Differentiated Derivatives
AbstractInduced pluripotent stem cells (iPSCs), capable of differentiating into any cell type, are a promising tool for solving the problem of donor...
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Sirt1 activation prevents high glucose-induced angiotensin converting enzyme 2 downregulation in renal tubular cells by regulating the TIMP3/ADAM17 pathway
BackgroundAngiotensin converting enzyme 2 (ACE2) exerts renoprotective effects in diabetic kidney disease (DKD) by converting angiotensin (Ang) II...
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Hybrid deep learning approach to improve classification of low-volume high-dimensional data
BackgroundThe performance of machine learning classification methods relies heavily on the choice of features. In many domains, feature generation...
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Integration of IDPC Clustering Analysis and Interpretable Machine Learning for Survival Risk Prediction of Patients with ESCC
Precise forecasting of survival risk plays a pivotal role in comprehending and predicting the prognosis of patients afflicted with esophageal...
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High-throughput sequencing analysis of differences in intestinal microflora between ulcerative colitis patients with different glucocorticoid response types
BackgroundPrevious investigations reported that the imbalance of intestinal microflora may be the initiation and promotion factor in the pathogenesis...
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DistilBERT-based Text Classification for Automated Diagnosis of Mental Health Conditions
Mental health disorders present a substantial global health challenge, underscoring the critical importance of timely diagnosis and intervention for...
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Evaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES)
BackgroundGenome-wide association studies have successfully identified genetic variants associated with human disease. Various statistical approaches...
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Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts
The semantic segmentation for irregularly and not uniformly disposed patterns becomes even more difficult when the occurrence of categories is...
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Gut Microbiota Dysbiosis and Increased NLRP3 Levels in Patients with Pregnancy-Induced Hypertension
Pregnancy-induced hypertension (PIH) is one of the most common diseases, causing high maternal morbidity and mortality. However, the correlation of...
