Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes.

Biosynthetic gene clusters (BGCs) in bacterial genomes code for important small molecules and second...

Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.

As one of the most prevalent post-transcriptional epigenetic modifications, N5-methylcytosine (m5C) ...

CancerVar: An artificial intelligence-empowered platform for clinical interpretation of somatic mutations in cancer.

Several knowledgebases are manually curated to support clinical interpretations of thousands of hots...

iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network.

A promoter is a short DNA sequence near the start codon, responsible for initiating the transcriptio...

A deep learning framework for enhancer prediction using word embedding and sequence generation.

Enhancers are non-coding DAN fragments that play key roles in gene regulations and can promote the t...

A nonlinear neural network based on an analog DNA toehold mediated strand displacement reaction circuit.

The DNA toehold mediated strand displacement reaction is one of the semi-synthetic biology technolog...

An improved genetic algorithm and its application in neural network adversarial attack.

The choice of crossover and mutation strategies plays a crucial role in the searchability, convergen...

Evolving neural networks through bio-inspired parent selection in dynamic environments.

Environmental variability often degrades the performance of algorithms designed to capture the globa...

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Artificial intelligence (AI) can extract visual information from histopathological slides and yield ...

Molecular Visualization of Early-Stage Acute Kidney Injury with a DNA Framework Nanodevice.

DNA nanomachines with artificial intelligence have attracted great interest, which may open a new er...

Deep-Learning-Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns.

The development of simple and accurate methods to predict mutations in proteins remains an unsolved ...

DeepTESR: A Deep Learning Framework to Predict the Degree of Translational Elongation Short Ramp for Gene Expression Control.

Controlling translational elongation is essential for efficient protein synthesis. Ribosome profilin...

Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics.

Analysis of landmark-based morphometric measurements taken on body parts of insects have been a usef...

Challenges for machine learning in RNA-protein interaction prediction.

RNA-protein interactions have long being recognised as crucial regulators of gene expression. Recent...

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.

Due to the lack of properly annotated medical data, exploring the generalization capability of the d...

Reliable CA-(Q)SAR generation based on entropy weight optimized by grid search and correction factors.

Chromosome aberration (CA) is a serious genotoxicity of a compound, leading to carcinogenicity and d...

Establishment of Economic Forecasting Model of High-tech Industry Based on Genetic Optimization Neural Network.

Scientific and accurate prediction of high-tech industries is of great practical significance for go...

An integrated network representation of multiple cancer-specific data for graph-based machine learning.

Genomic profiles of cancer cells provide valuable information on genetic alterations in cancer. Seve...

Classification of non-coding variants with high pathogenic impact.

Whole genome sequencing is increasingly used to diagnose medical conditions of genetic origin. While...

Spatial analysis of tumor-infiltrating lymphocytes in histological sections using deep learning techniques predicts survival in colorectal carcinoma.

This study aimed to explore the prognostic impact of spatial distribution of tumor-infiltrating lymp...

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning.

Surgical margin analysis (SMA), an essential procedure to confirm the complete excision of cancerous...

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