Genetics

Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

Escherichia coli is a species of bacteria that can be present in a wide variety of mammalian hosts a...

Brief Survey on Machine Learning in Epistasis.

In biology, the term "epistasis" indicates the effect of the interaction of a gene with another gene...

Deep Neural Networks for Epistatic Sequence Analysis.

We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neura...

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.

To develop medical treatments and prevention, the association between disease and genetic variants n...

Epistasis Detection Based on Epi-GTBN.

Epistasis detection is a hot topic in bioinformatics due to its relevance to the detection of specif...

Research on trajectory tracking control of 7-DOF picking manipulator.

In order to solve the problem of poor robustness of the traditional method of calculating torque in ...

Identification of Gene Regulatory Networks from Single-Cell Expression Data.

Single-cell RNAseq is an emerging technology that allows the quantification of gene expression in in...

Machine Learning to Identify Gene Interactions from High-Throughput Mutant Crosses.

Advances in molecular genetics through high-throughput gene mutagenesis and genetic crossing have en...

NOS3 rs1799983 and rs2070744 polymorphisms and their association with advanced chronic kidney disease and coronary heart disease in Canarian population with type 2 diabetes.

CONTEXT: Different polymorphisms of the endothelial nitric oxide synthase gene (NOS3) have been rela...

Graph convolutional networks for epigenetic state prediction using both sequence and 3D genome data.

MOTIVATION: Predictive models of DNA chromatin profile (i.e. epigenetic state), such as transcriptio...

[Application of artificial intelligence technology in the diagnosis and treatment of colorectal cancer].

The combination of artificial intelligence (AI) technology and medicine is an important milestone in...

Single-cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs.

Hematopoietic stem and progenitor cells (HSPCs) develop in distinct waves at various anatomical site...

Machine learning-based approaches for disease gene prediction.

Disease gene prediction is an essential issue in biomedical research. In the early days, annotation-...

GNL-Scorer: a generalized model for predicting CRISPR on-target activity by machine learning and featurization.

An omics perspective on drug target discovery platforms.

The drug discovery process starts with identification of a disease-modifying target. This critical s...

Effect of Genetic Polymorphisms on the Pharmacokinetics of Deferasirox in Healthy Chinese Subjects and an Artificial Neural Networks Model for Pharmacokinetic Prediction.

BACKGROUND AND OBJECTIVE: Deferasirox is an oral iron chelator used to reduce iron levels in iron-ov...

Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5a genetic mutation attributable to Brugada syndrome.

BACKGROUND: Life-threatening arrhythmias resulting from genetic mutations are often missed in curren...

Dermoscopic Features of Giant Molluscum Contagiosum in a Patient with Acquired Immunodeficiency Syndrome.

Giant molluscum contagiosum (MC) is a peculiar variant of the disease with the presence of multiple ...

Bio-protective effects of subsp. against aflatoxin b1 genotoxicity on human blood lymphocytes: a native probiotic strain isolated from Iranian camel milk.

BACKGROUND AND PURPOSE: Aflatoxin B1 is one of the main poisonous substances in certain kinds of fun...

Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.

High-content imaging and single-cell genomics are two of the most prominent high-throughput technolo...

Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes.

Morphologic interpretation is the standard in diagnosing myelodysplastic syndrome (MDS), but it has ...