Latest AI and machine learning research in genetics for healthcare professionals.
Using the traditional English teaching mode is difficult to help correct students, and it is difficu...
Mammalian genomes have multiple enhancers spanning an ultralong distance (>megabases) to modulate im...
Numerous studies have been conducted to elucidate the relation of tumor proximity to cancer prognosi...
In this paper we explore the use of income inequality metrics such as Gini or Palma coefficients as ...
The availability of thousands of assays of epigenetic activity necessitates compressed representatio...
RNA binding protein (RBP) is extensively involved in various cellular regulatory processes through t...
Epigenetic modifications have a vital role in gene expression and are linked to cellular processes s...
DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) are two important nucleic acid-binding p...
Alternative splicing enables a gene translating into different isoforms and into the corresponding p...
DNA barcodes with short sequence fragments are used for species identification. Because of advances ...
Alternative splicing produces different isoforms from the same gene locus, it is an important mechan...
RESEARCH QUESTION: Can better methods be developed to evaluate the performance and characteristics o...
RNA 5-hydroxymethylcytosine (5 hmC) is an important RNA modification, which plays vital role in seve...
Computational protocols for cell type deconvolution from bulk RNA-seq data have been used to underst...
Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to investigate t...
In this study, we propose a two-stage workflow used for the segmentation and scoring of lung disease...
Neurotransmitters, such as dopamine and serotonin, are responsible for mediating a wide array of neu...
Genomics is advancing towards data-driven science. Through the advent of high-throughput data genera...
Identification of somatic mutations in tumor samples is commonly based on statistical methods in com...
Manipulation of cells for applications such as biomanufacturing and cell-based therapeutics involves...
When creating training data for machine-learned interatomic potentials (MLIPs), it is common to crea...