Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Identifying splice site regions is an important step in the genomic DNA sequencing pipel...
To achieve minimum DNA input requirements for next-generation sequencing (NGS), pathologists visuall...
There is evidence that non-coding RNAs play significant roles in the regulation of nutrient homeosta...
Training neural networks with backpropagation (BP) requires a sequential passing of activations and ...
This paper introduces versatile filters to construct efficient convolutional neural networks that ar...
With the number of phage genomes increasing, it is urgent to develop new bioinformatics methods for ...
With the development of modern Internet technology, the health assessment model based on computer te...
Artificial intelligence (AI) models based on deep learning now represent the state of the art for ma...
The recent investigation has started for evaluating the human respiratory sounds, like voice recorde...
We describe a protocol to perform fast and non-arbitrary quality control of single-cell RNA sequenci...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the pro...
Under the background of the Internet of things (IoT), the problems between the actual production and...
Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within...
Revealing the function of uncharacterized genes is a fundamental challenge in an era of ever-increas...
Deep neural network is a complex pattern recognition network system. It is widely favored by scholar...
Directed evolution, a revolutionary biotechnology in protein engineering, optimizes protein fitness ...
Collagen is the most abundant structural protein in humans, providing crucial mechanical properties,...
BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ...
With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping ...
In this study, Machine learning (ML) models integrated with genetic algorithm (GA) and particle swar...