Genetics

Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize.

Bulliform cells comprise specialized cell types that develop on the adaxial (upper) surface of grass...

TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies.

One of the most important tasks in genome-wide association analysis (GWAS) is the detection of singl...

The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.

"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application f...

CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data.

Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples...

NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.

With advancements in synthetic biology, the cost and the time needed for designing and synthesizing ...

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.

The majority of our human genome transcribes into noncoding RNAs with unknown structures and functio...

Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing.

Defects in pre-mRNA splicing are frequently a cause of Mendelian disease. Despite the advent of next...

Point-of-care cervical cancer screening using deep learning-based microholography.

Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures o...

DualWMDR: Detecting epistatic interaction with dual screening and multifactor dimensionality reduction.

Detecting epistatic interaction is a typical way of identifying the genetic susceptibility of comple...

Deep Learning Deciphers Protein-RNA Interaction.

ImaGene: a convolutional neural network to quantify natural selection from genomic data.

BACKGROUND: The genetic bases of many complex phenotypes are still largely unknown, mostly due to th...

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwid...

The Hearing Impairment Ontology: A Tool for Unifying Hearing Impairment Knowledge to Enhance Collaborative Research.

Hearing impairment (HI) is a common sensory disorder that is defined as the partial or complete inab...

Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data.

This paper presents a Grouping Genetic Algorithm (GGA) to solve a maximally diverse grouping problem...

Artificial intelligence in genetic services delivery: Utopia or apocalypse?

Artificial intelligence (AI) technologies have a long history, with increasing presence and potentia...

The complete chloroplast genome of , an important tropical crop.

(Willd. ex Spreng.) K. Schum., an economically important tree in the family Malvaceae, is native to...

Ranking of non-coding pathogenic variants and putative essential regions of the human genome.

A gene is considered essential if loss of function results in loss of viability, fitness or in disea...

Artificial intelligence in clinical and genomic diagnostics.

Artificial intelligence (AI) is the development of computer systems that are able to perform tasks t...

AGONOTES: A Robot Annotator for Argonaute Proteins.

The argonaute protein (Ago) exists in almost all organisms. In eukaryotes, it functions as a regulat...

Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

PURPOSE: To assess the performance of texture analysis of conventional magnetic resonance imaging (M...

Characterization of the complete chloroplast genome of sunflower family species (Compositae).

is a perennial medicinal plant belong the sunflower family Compositae, which is widely distributed ...