Reviewing ensemble classification methods in breast cancer

M Hosni, I Abnane, A Idri, JMC de Gea… - Computer methods and …, 2019 - Elsevier
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

Y Chu, X Wang, Q Dai, Y Wang, Q Wang… - Briefings in …, 2021 - academic.oup.com
Accurate identification of the miRNA-disease associations (MDAs) helps to understand the
etiology and mechanisms of various diseases. However, the experimental methods are …

Prediction of biomarker–disease associations based on graph attention network and text representation

M Yang, ZA Huang, W Gu, K Han, W Pan… - Briefings in …, 2022 - academic.oup.com
Motivation The associations between biomarkers and human diseases play a key role in
understanding complex pathology and developing targeted therapies. Wet lab experiments …

Breast cancer prediction using genetic algorithm based ensemble approach

P Chauhan, A Swami - 2018 9th international conference on …, 2018 - ieeexplore.ieee.org
Breast cancer prediction is an open area of research. Breast cancer is a classification
problem which can be solved by machine learning models like a decision tree, random …

Annotating diseases using human phenotype ontology improves prediction of disease-associated long non-coding RNAs

DH Le, LTM Dao - Journal of molecular biology, 2018 - Elsevier
Recently, many long non-coding RNAs (lncRNAs) have been identified and their biological
function has been characterized; however, our understanding of their underlying molecular …

PseUpred-ELPSO Is an Ensemble Learning Predictor with Particle Swarm Optimizer for Improving the Prediction of RNA Pseudouridine Sites

X Wang, P Li, R Wang, X Gao - Biology, 2024 - mdpi.com
Simple Summary RNA pseudouridine modifications are present in various RNAs across
different organisms and play crucial roles in regulating gene expression during biological …

[HTML][HTML] A Method for Assessing the Risks of Complications in Chemoradiation Treatment of Squamous Cell Carcinoma of the Head and Neck

V Starenkiy, S Artiukh… - The Open …, 2021 - openbioinformaticsjournal.com
Background: More than 500,000 new cases of squamous cell carcinoma of the head and
neck (SCCHN) are registered annually in the world. 7,036 new cases of the disease were …

MiRNA-Disease Associations Prediction Based on Improving Feature Vectors Quality Combined with Highly Reliable Negative Samples Selection

NPX Quynh, TH Nhan, LA Phuong - Conference on Information …, 2024 - Springer
MicroRNAs (miRNAs) are tiny and non-coding RNA molecules with~ 22nt in length. They
have important roles in various biological processes, gene expression and influence cellular …

Desarrollo y aplicación de nuevos modelos de aprendizaje automático para el estudio del cáncer colorrectal

JA Delgado Osuna - 2023 - helvia.uco.es
En la actualidad, en el ámbito sanitario, hay un interés creciente en la consideración de
técnicas de Inteligencia Artificial, en concreto técnicas de Aprendizaje Automático o …

[PDF][PDF] A general computational framework for prediction of disease-associated non-coding RNAs

DH Le - VNU Journal of Science: Computer Science and …, 2019 - scholar.archive.org
Since last decade, we have been witnessing the raise of non-coding RNAs (ncRNAs) in
biomedical research. Many ncRNAs have been identified and classified into different …