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[HTML][HTML] Machine learning for plant breeding and biotechnology
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
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 …
Transposable elements: multifunctional players in the plant genome
Transposable elements (TEs) are indispensable components of eukaryotic genomes that
play diverse roles in gene regulation, recombination, and environmental adaptation. Their …
play diverse roles in gene regulation, recombination, and environmental adaptation. Their …
Transposable elements in plants: Recent advancements, tools and prospects
Transposable elements (TEs) have long been considered junk DNA; however, the
availability of genome sequences and the growth of omics databases have accelerated the …
availability of genome sequences and the growth of omics databases have accelerated the …
[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 …
Specificities and dynamics of transposable elements in land plants
Simple Summary Transposable elements are dynamic components of plant genomes, and
display a high diversity of lineages and distribution as the result of evolutionary driving …
display a high diversity of lineages and distribution as the result of evolutionary driving …
From tradition to innovation: conventional and deep learning frameworks in genome annotation
Following the milestone success of the Human Genome Project, the 'Encyclopedia of DNA
Elements (ENCODE)'initiative was launched in 2003 to unearth information about the …
Elements (ENCODE)'initiative was launched in 2003 to unearth information about the …
Transposable elements in Rosaceae: insights into genome evolution, expression dynamics, and syntenic gene regulation
Z Yu, J Li, H Wang, B **, X Li, Z Liu… - Horticulture …, 2024 - academic.oup.com
Transposable elements (TEs) exert significant influence on plant genomic structure and
gene expression. Here, we explored TE-related aspects across 14 Rosaceae genomes …
gene expression. Here, we explored TE-related aspects across 14 Rosaceae genomes …
[PDF][PDF] Conserved structured domains in plant non-coding RNA enod40, their evolution and recruitment of sequences from transposable elements
AP Gultyaev, C Koster… - NAR Genomics and …, 2023 - academic.oup.com
Plant long noncoding RNA enod40 is involved in the regulation of symbiotic associations
with bacteria, in particular, in nitrogen-fixing root nodules of legumes, and with fungi in …
with bacteria, in particular, in nitrogen-fixing root nodules of legumes, and with fungi in …