Latest AI and machine learning research in genetics for healthcare professionals.
Machine Learning (ML) approaches are increasingly being used in biomedical applications. Important c...
Analog DNA strand displacement circuits can be used to build artificial neural network due to the co...
This article is concerned with the problem of finite-time H state estimation for switched genetic re...
Piwi-interacting RNAs (piRNAs) are a distinct sub-class of small non-coding RNAs that are mainly res...
In higher eukaryotic cells, chromosomes are folded inside the nucleus. Recent advances in whole-geno...
Protein is closely related to life activities. As a kind of protein, DNA-binding protein plays an ir...
Identifying druggable ligand-binding sites on the surface of the macromolecular targets is an import...
Locating the promoter region in DNA sequences is of paramount importance in bioinformatics. This pro...
As part of the ongoing bacterial-phage arms race, CRISPR-Cas systems in bacteria clear invading phag...
Nonlinear DNA signal amplification with an enzyme-free isothermal self-assembly process is uniquely ...
Commercial banks are facing unprecedented credit risk challenges as the financial market becomes mor...
As the presentation form of the web, web pages contain a lot of important information in web design....
Tumors are complex tissues of cancerous cells surrounded by a heterogeneous cellular microenvironmen...
High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by...
Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli to enable learning. An...
DNA-based data storage platforms traditionally encode information only in the nucleotide sequence of...
The rate of adaptive evolution depends on the rate at which beneficial mutations are introduced into...
Handmade is an important part of preschool education, which was aimed at improving children's abilit...
Deep learning (DL) is applied in many biomedical areas. We performed a scoping review on DL in medic...
This study exploits a novel enhanced genetic neural network algorithm with link switches (EGA-NNLS) ...
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression relat...