Genetics

Deep Neural Networks for Epistatic Sequence Analysis.

We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neural networks on a broad range of epistatic sequences such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive supports for developing, training, and evaluating the self-defined deep neural networks on sequence data. Moreover, pysster allows users to easily vis...

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.

To develop medical treatments and prevention, the association between disease and genetic variants needs to be identified. The main goal of genome-wide association study (GWAS) is to discover the underlying reason for vulnerability to disease and utilize this knowledge for the development of prevention and treatment against these diseases. Given the methods available to address the scientific prob...

A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Epistasis is a challenge in prediction, classification, and suspicion of human genetic diseases. Many technologies, methods, and tools have been devel...

Epistasis Detection Based on Epi-GTBN.

Epistasis detection is a hot topic in bioinformatics due to its relevance to the detection of specific phenotypic traits and gene-gene interactions. H...

Epistasis Analysis: Classification Through Machine Learning Methods.

Complex disease is different from Mendelian disorders. Its development usually involves the interaction of multiple genes or the interaction between g...

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 the mechanical model of 7-DOF picking manipulator,...

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 individual cells. In plants, single-cell sequencing ...

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

Advances in molecular genetics through high-throughput gene mutagenesis and genetic crossing have enabled gene interaction mapping across whole genome...

[Forefront of AI Applications for COVID-19 Imaging Diagnosis].

The intra- and inter-observer variability in diagnosis of thoracic CT images may affect the diagnosis of COVID-19. Therefore, several studies have bee...

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 related to diabetic kidney disease.

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 transcription factor binding, are essential for understanding ...

[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 the development of modern medicine, which realize...

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 sites during embryonic development. The in vitro diffe...

Machine learning-based approaches for disease gene prediction.

Disease gene prediction is an essential issue in biomedical research. In the early days, annotation-based approaches were proposed for this problem. W...

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 step traditionally begins with manual investigation...

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-overloaded patients with transfusion-dependent anemi...

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 current electrocardiogram (ECG) analysis. We combined a ...

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 or single lesions larger than 5 mm. In contrast to...

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 fungi all over the world. The toxin is a serious heal...