Identification of circRNA‐disease associations via multi‐model fusion and ensemble learning

J Yang, X Lei, F Zhang - Journal of Cellular and Molecular …, 2024 - Wiley Online Library
Circular RNA (circRNA) is a common non‐coding RNA and plays an important role in the
diagnosis and therapy of human diseases, circRNA‐disease associations prediction based …

[HTML][HTML] A hybrid machine learning approach to screen optimal predictors for the classification of primary breast tumors from gene expression microarray data

N Alromema, AH Syed, T Khan - Diagnostics, 2023 - mdpi.com
The high dimensionality and sparsity of the microarray gene expression data make it
challenging to analyze and screen the optimal subset of genes as predictors of breast …

An outlier removal method based on pca-dbscan for blood-sers data analysis

M Liu, T Wang, Q Zhang, C Pan, S Liu, Y Chen… - Analytical …, 2024 - pubs.rsc.org
Surface-enhanced Raman spectroscopy (SERS) has shown promising potential in cancer
screening. In practical applications, Raman spectra are often affected by deviations from the …

Harnessing Diversity in Face Recognition: A Voting and Bagging Ensemble Approach

A Gupta, S Sriram, V Nivethitha - … International Conference on …, 2024 - ieeexplore.ieee.org
Facial recognition plays a crucial role in various applications, as it tackles challenges such
as changes in lighting, position, and facial expressions. This study aims to explore the …

Monkeypox diagnosis based on Dynamic Recursive Gray wolf (DRGW) optimization

AI Saleh, SA Hussien - Biomedical Signal Processing and Control, 2024 - Elsevier
The increasing spread of monkeypox recently requires more study, investigation, and
analysis. Not only to understand the different factors that contribute to the spread and …

[HTML][HTML] Hybridizing Deep Neural Networks and Machine Learning Models for Aerial Satellite Forest Image Segmentation

C Kwenda, M Gwetu, JV Fonou-Dombeu - Journal of Imaging, 2024 - mdpi.com
Forests play a pivotal role in mitigating climate change as well as contributing to the socio-
economic activities of many countries. Therefore, it is of paramount importance to monitor …

Classification of Oral Cancer Into Pre-Cancerous Stages From White Light Images Using LightGBM Algorithm

B Goswami, MK Bhuyan, S Alfarhood, M Safran - IEEE Access, 2024 - ieeexplore.ieee.org
Cancer is one of the foremost reasons for death worldwide, with nearly 10 million deaths
noted in 2020. Globally, oral cancer ranks sixth when compared to other cancers. It is lethal …

Evaluating the Performance of Voting Classifier in Multiclass Classification of Dry Bean Varieties

IPA Pratama, ESJ Atmadji… - … Journal of Data and …, 2024 - jurnal.yoctobrain.org
This study explores the application of a voting classifier, integrating Decision Tree, Logistic
Regression, and Gaussian Naive Bayes models, for the multiclass classification of dry bean …

Disease Diagnosis Based on Improved Gray Wolf Optimization (IGWO) and Ensemble Classification

AI Saleh, SA Hussien - Annals of Biomedical Engineering, 2023 - Springer
This paper introduces a simple strategy for diagnosing disease, which is called improved
gray wolf optimization (IGWO) and ensemble classification. The proposed strategy consists …

Tumor cell type and gene marker identification by single layer perceptron neural network on single-cell RNA sequence data

B Senapati, R Das - Journal of Biosciences, 2024 - Springer
Tumors have drawn increasing attention recently because of their heterogeneous interior
structures. Particularly, single-cell RNA (scRNA) mechanics have made important …