[HTML][HTML] A survey on single and multi omics data mining methods in cancer data classification
Data analytics is routinely used to support biomedical research in all areas, with particular
focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in …
focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in …
The Impact of Apolipoprotein E (APOE) Epigenetics on Aging and Sporadic Alzheimer's Disease
Simple Summary Modifications of gene expression (epigenetic alterations) have been
implicated in the pathogenesis of complex diseases, such as Alzheimer's disease (AD) …
implicated in the pathogenesis of complex diseases, such as Alzheimer's disease (AD) …
Enhancing anomaly detection accuracy and interpretability in low-quality and class imbalanced data: A comprehensive approach
B Gao, X Kong, S Li, Y Chen, X Zhang, Z Liu, W Lv - Applied Energy, 2024 - Elsevier
With the rapid advancements in smart meters, energy internet, and high-performance
computing technologies, deep learning methods are increasingly used for detecting …
computing technologies, deep learning methods are increasingly used for detecting …
Quantum mechanics-based missing value estimation framework for industrial data
As the importance of data-based predictive maintenance frameworks is rising, one of the
emerging issues is the missing values in industrial data. Data with various missing values …
emerging issues is the missing values in industrial data. Data with various missing values …
CpG Transformer for imputation of single-cell methylomes
Motivation The adoption of current single-cell DNA methylation sequencing protocols is
hindered by incomplete coverage, outlining the need for effective imputation techniques …
hindered by incomplete coverage, outlining the need for effective imputation techniques …
shinyÉPICo: a graphical pipeline to analyze Illumina DNA methylation arrays
O Morante-Palacios, E Ballestar - Bioinformatics, 2021 - academic.oup.com
Illumina DNA methylation bead arrays provide a cost-effective platform for the simultaneous
analysis of a high number of human samples. However, the analysis can be time …
analysis of a high number of human samples. However, the analysis can be time …
Surrounding greenness and biological aging based on DNA methylation: a twin and family study in Australia
Background: High surrounding greenness has many health benefits and might contribute to
slower biological aging. However, very few studies have evaluated this from the perspective …
slower biological aging. However, very few studies have evaluated this from the perspective …
DNA methylation changes associated with type 2 diabetes and diabetic kidney disease in an East Asian population
Context There is a growing body of evidence that epigenetic changes including DNA
methylation influence the risk of type 2 diabetes (T2D) and its microvascular complications …
methylation influence the risk of type 2 diabetes (T2D) and its microvascular complications …
Molecular subtyping and survival analysis of osteosarcoma reveals prognostic biomarkers and key canonical pathways
Simple Summary Osteosarcoma (OS), which accounts for about 35% of bone malignancy,
shows aggressive progression in adults, adolescents, and children. Neoadjuvant …
shows aggressive progression in adults, adolescents, and children. Neoadjuvant …
Methylation data imputation performances under different representations and missingness patterns
Background High-throughput technologies enable the cost-effective collection and analysis
of DNA methylation data throughout the human genome. This naturally entails missing …
of DNA methylation data throughout the human genome. This naturally entails missing …