Latest AI and machine learning research in genetics for healthcare professionals.
Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tum...
Aiming at the problems existing in the traditional teaching mode, this paper intelligently optimizes...
Among an assortment of genetic variations, Missense are major ones which a small subset of them may ...
DNA methylation dynamics emerged as a promising biomarker of mammalian aging, with multivariate mach...
Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been introduced and wi...
The advancements of single-cell RNA sequencing (scRNA-seq) technologies have provided us unprecedent...
Short-read DNA sequencing instruments can yield over 10 bases per run, typically composed of reads 1...
Non-coding RNA (ncRNA) is involved in many biological processes and diseases in all species. Many nc...
Clustering tumor metastasis samples from gene expression data at the whole genome level remains an a...
RNA-binding proteins (RBPs) have a significant role in various regulatory tasks. However, the mechan...
An important reason of cancer proliferation is the change in DNA methylation patterns, characterized...
As modern science and technology constantly progresses, the fields of artificial intelligence, mixed...
Simultaneous imaging of various facets of intact biological systems across multiple spatiotemporal s...
BACKGROUND: There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (...
Genetic data have become increasingly complex within the past decade, leading researchers to pursue ...
Knowledge of 1p/19q-codeletion and IDH1/2 mutational status is necessary to interpret any investigat...
The present study demonstrates lignin (L), fragments of lignin (FL), and oxidized fragmented lignin ...
Chinese language is also an important way to understand Chinese culture and an important carrier to ...
The parasite species of genus causes Malaria, which remains a major global health problem due to pa...
The prediction of antimicrobial resistance (AMR) based on genomic information can improve patient ou...
In view of the growth of clinical risk prediction models using genetic data, there is an increasing ...