Transfer learning in magnetic resonance brain imaging: A systematic review

JM Valverde, V Imani, A Abdollahzadeh, R De Feo… - Journal of …, 2021 - mdpi.com
(1) Background: Transfer learning refers to machine learning techniques that focus on
acquiring knowledge from related tasks to improve generalization in the tasks of interest. In …

The dynamism of transposon methylation for plant development and stress adaptation

M Ramakrishnan, L Satish, R Kalendar… - International Journal of …, 2021 - mdpi.com
Plant development processes are regulated by epigenetic alterations that shape nuclear
structure, gene expression, and phenotypic plasticity; these alterations can provide the plant …

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

R Tabares-Soto, S Orozco-Arias… - PeerJ Computer …, 2020 - peerj.com
Cancer classification is a topic of major interest in medicine since it allows accurate and
efficient diagnosis and facilitates a successful outcome in medical treatments. Previous …

[HTML][HTML] Measuring performance metrics of machine learning algorithms for detecting and classifying transposable elements

S Orozco-Arias, JS Piña, R Tabares-Soto… - Processes, 2020 - mdpi.com
Because of the promising results obtained by machine learning (ML) approaches in several
fields, every day is more common, the utilization of ML to solve problems in bioinformatics. In …

Inpactor2: a software based on deep learning to identify and classify LTR-retrotransposons in plant genomes

S Orozco-Arias… - Briefings in …, 2023 - academic.oup.com
LTR-retrotransposons are the most abundant repeat sequences in plant genomes and play
an important role in evolution and biodiversity. Their characterization is of great importance …

TERL: classification of transposable elements by convolutional neural networks

MHP da Cruz, DS Domingues, PTM Saito… - Briefings in …, 2021 - academic.oup.com
Transposable elements (TEs) are the most represented sequences occurring in eukaryotic
genomes. Few methods provide the classification of these sequences into deeper levels …

ncRDeep: Non-coding RNA classification with convolutional neural network

T Chantsalnyam, DY Lim, H Tayara… - Computational Biology and …, 2020 - Elsevier
A non-coding RNA (ncRNA) is a kind of RNA that is not converted into protein, however, it is
involved in many biological processes, diseases, and cancers. Numerous ncRNAs have …

A Detailed Comparative Analysis of You Only Look Once-Based Architectures for the Detection of Personal Protective Equipment on Construction Sites

A Elesawy, E Mohammed Abdelkader, H Osman - Eng, 2024 - mdpi.com
For practitioners and researchers, construction safety is a major concern. The construction
industry is among the world's most dangerous industries, with a high number of accidents …

K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes

S Orozco-Arias, MS Candamil-Cortés, PA Jaimes… - PeerJ, 2021 - peerj.com
Every day more plant genomes are available in public databases and additional massive
sequencing projects (ie, that aim to sequence thousands of individuals) are formulated and …

Teaching transposon classification as a means to crowd source the curation of repeat annotation–a tardigrade perspective

V Peona, J Martelossi, D Almojil, J Bocharkina… - Mobile DNA, 2024 - Springer
Background The advancement of sequencing technologies results in the rapid release of
hundreds of new genome assemblies a year providing unprecedented resources for the …