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Transfer learning in magnetic resonance brain imaging: A systematic review
(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 …
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
Plant development processes are regulated by epigenetic alterations that shape nuclear
structure, gene expression, and phenotypic plasticity; these alterations can provide the plant …
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
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 …
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
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 …
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 …
an important role in evolution and biodiversity. Their characterization is of great importance …
TERL: classification of transposable elements by convolutional neural networks
Transposable elements (TEs) are the most represented sequences occurring in eukaryotic
genomes. Few methods provide the classification of these sequences into deeper levels …
genomes. Few methods provide the classification of these sequences into deeper levels …
ncRDeep: Non-coding RNA classification with convolutional neural network
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 …
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
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 …
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 …
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
Background The advancement of sequencing technologies results in the rapid release of
hundreds of new genome assemblies a year providing unprecedented resources for the …
hundreds of new genome assemblies a year providing unprecedented resources for the …