Latest AI and machine learning research in genetics for healthcare professionals.
Continued advancement in pluripotent stem cell culture is closing the gap between bench and bedside ...
Similar to intelligent multicellular neural networks controlling human brains, even single cells, su...
The multiple timescale recurrent neural network (MTRNN) model is a useful tool for recording and reg...
The field of machine learning, which aims to develop computer algorithms that improve with experienc...
Protein phosphorylation is important in cellular pathways and altered in disease. We developed MIMP ...
Following the rapid development of social media, sentiment analysis has become an important social m...
BACKGROUND: Friedreich's ataxia (FRDA) is the most common hereditary autosomal recessive form of ata...
OBJECTIVES: Previous studies found higher expression levels of DNA methyltransferase 1 in liver samp...
BACKGROUND: High throughput sequencing technologies are able to identify the whole genomic variation...
An artificial bee colony (ABC) is a relatively recent swarm intelligence optimization approach. In t...
An usual task in large data set analysis is searching for an appropriate data representation in a sp...
Bio-ontologies provide terminologies for the scientific community to describe biomedical entities in...
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations bet...
This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative ...
BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for ...
Modifications to the global run-on and sequencing (GRO-seq) protocol that enrich for 5'-capped RNAs ...
Pummelo (Citrus grandis) is an important fruit crop worldwide because of its nutritional value. To a...
The standard artificial bee colony (ABC) algorithm involves exploration and exploitation processes w...
Single nucleotide polymorphisms (SNPs) make up the most common form of mutations in human cytochrome...
Identification of microRNAs (miRNAs) is an important step toward understanding post-transcriptional ...
Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selecti...