Genetics

Connecting MHC-I-binding motifs with HLA alleles via deep learning.

The selection of peptides presented by MHC molecules is crucial for antigen discovery. Previously, s...

Application of Neural Network Model Based on Multispecies Evolutionary Genetic Algorithm to Planning and Design of Diverse Plant Landscape.

In order to explore the feasibility of applying neural network model to landscape planning, based on...

A GO catalogue of human DNA-binding transcription factors.

To control gene transcription, DNA-binding transcription factors recognise specific sequence motifs ...

Machine-learning algorithms predict breast cancer patient survival from UK Biobank whole-exome sequencing data.

We tested whether machine-learning algorithm could find biomarkers predicting overall survival in b...

Scaling up DNA digital data storage by efficiently predicting DNA hybridisation using deep learning.

Deoxyribonucleic acid (DNA) has shown great promise in enabling computational applications, most not...

Effectiveness of Create ML in microscopy image classifications: a simple and inexpensive deep learning pipeline for non-data scientists.

Observing chromosomes is a time-consuming and labor-intensive process, and chromosomes have been ana...

Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases.

BACKGROUND: Clinical interpretation of genetic variants in the context of the patient's phenotype is...

Using a multi-head, convolutional neural network with data augmentation to improve electropherogram classification performance.

DNA profiles are generated in forensic biology laboratories around the world. It is possible that th...

Walking-induced exposure of biological particles simulated by a children robot with different shoes on public floors.

Inhalation exposure to the resuspended biological particles from public places can cause adverse eff...

The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition.

BACKGROUND: Type 1 Brugada syndrome (BrS) is a hereditary arrhythmogenic disease showing peculiar el...

Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks.

In the current industrial landscape, increasingly pervaded by technological innovations, the adoptio...

miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.

Formation of mature miRNAs and their expression is a highly controlled process. It is very much depe...

Can artificial intelligence save medical genetics?

Association of TLR 9 gene polymorphisms with remission in patients with rheumatoid arthritis receiving TNF-α inhibitors and development of machine learning models.

Toll-like receptor (TLR)-4 and TLR9 are known to play important roles in the immune system, and seve...

Genetic variant effect prediction by supervised nonnegative matrix tri-factorization.

Discriminating between deleterious and neutral mutations among numerous non-synonymous single nucleo...

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

Most predictive models based on gene expression data do not leverage information related to gene spl...

Automatic Film Label Acquisition Method Based on Improved Neural Networks Optimized by Mutation Ant Colony Algorithm.

Nowadays, with the constant change of public aesthetic standards, a large number of new types and th...

Artificial image objects for classification of breast cancer biomarkers with transcriptome sequencing data and convolutional neural network algorithms.

BACKGROUND: Transcriptome sequencing has been broadly available in clinical studies. However, it rem...

Stem-cell based, machine learning approach for optimizing natural killer cell-based personalized immunotherapy for high-grade ovarian cancer.

Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected...

A Survey of Autoencoder Algorithms to Pave the Diagnosis of Rare Diseases.

Rare diseases (RDs) concern a broad range of disorders and can result from various origins. For a lo...

Audience Evaluation and Analysis of Symphony Performance Effects Based on the Genetic Neural Network Algorithm for the Multilayer Perceptron (GA-MLP-NN).

Traditional symphony performances need to obtain a large amount of data in terms of effect evaluatio...