Epigenetic alterations of maternal tobacco smoking during pregnancy: a narrative review
In utero exposure to maternal tobacco smoking is the leading cause of birth complications in
addition to being associated with later impairment in child's development. Epigenetic …
addition to being associated with later impairment in child's development. Epigenetic …
Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
The integration of artificial intelligence (AI) into point-of-care (POC) biosensing has the
potential to revolutionize diagnostic methodologies by offering rapid, accurate, and …
potential to revolutionize diagnostic methodologies by offering rapid, accurate, and …
Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona
Motivation Single-cell multi-omics sequencing data can provide a comprehensive molecular
view of cells. However, effective approaches for the integrative analysis of such data are …
view of cells. However, effective approaches for the integrative analysis of such data are …
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification
Deep learning is a promising tool that uses nonlinear transformations to extract features from
high-dimensional data. Deep learning is challenging in genome-wide association studies …
high-dimensional data. Deep learning is challenging in genome-wide association studies …
Sex-specific epigenetic development in the mouse hypothalamic arcuate nucleus pinpoints human genomic regions associated with body mass index
Recent genome-wide association studies corroborate classical research on developmental
programming indicating that obesity is primarily a neurodevelopmental disease strongly …
programming indicating that obesity is primarily a neurodevelopmental disease strongly …
Analysis of electrochemical impedance data: use of deep neural networks
Technology advancements in energy storage, photocatalysis, and sensors have generated
enormous impedimetric data. Electrochemical impedance spectroscopy (EIS) results play an …
enormous impedimetric data. Electrochemical impedance spectroscopy (EIS) results play an …
RiceSNP-BST: a deep learning framework for predicting biotic stress–associated SNPs in rice
J Xu, Y Gao, Q Lu, R Zhang, J Gui, X Liu… - Briefings in …, 2024 - academic.oup.com
Rice consistently faces significant threats from biotic stresses, such as fungi, bacteria, pests,
and viruses. Consequently, accurately and rapidly identifying previously unknown single …
and viruses. Consequently, accurately and rapidly identifying previously unknown single …
Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes
DNA methylation analysis by sequencing is becoming increasingly popular, yielding
methylomes at single-base pair and single-molecule resolution. It has tremendous potential …
methylomes at single-base pair and single-molecule resolution. It has tremendous potential …
Computational deconvolution of DNA methylation data from mixed DNA samples
MR Ferro dos Santos, E Giuili, A De Koker… - Briefings in …, 2024 - academic.oup.com
In this review, we provide a comprehensive overview of the different computational tools that
have been published for the deconvolution of bulk DNA methylation (DNAm) data. Here …
have been published for the deconvolution of bulk DNA methylation (DNAm) data. Here …
Clinical Translation of Nanomedicine with Integrated Digital Medicine and Machine Learning Interventions
Nanomaterials based therapeutics transform the ways of disease prevention, diagnosis and
treatment with increasing sophistications in nanotechnology at a breakneck pace, but very …
treatment with increasing sophistications in nanotechnology at a breakneck pace, but very …