Genetics

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

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Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis.

Simple diagnostic tests for nucleic acid targets can provide great advantages for applications such ...

N-of-one differential gene expression without control samples using a deep generative model.

Differential analysis of bulk RNA-seq data often suffers from lack of good controls. Here, we presen...

FUN-PROSE: A deep learning approach to predict condition-specific gene expression in fungi.

mRNA levels of all genes in a genome is a critical piece of information defining the overall state o...

Deep learning of human polyadenylation sites at nucleotide resolution reveals molecular determinants of site usage and relevance in disease.

The genomic distribution of cleavage and polyadenylation (polyA) sites should be co-evolutionally op...

Deep learning precipitation prediction models combined with feature analysis.

Precise rainfall forecasting modeling assumes a pivotal role in water resource planning and manageme...

Predicting multiple conformations via sequence clustering and AlphaFold2.

AlphaFold2 (ref. ) has revolutionized structural biology by accurately predicting single structures ...

ConF: A Deep Learning Model Based on BiLSTM, CNN, and Cross Multi-Head Attention Mechanism for Noncoding RNA Family Prediction.

This paper presents ConF, a novel deep learning model designed for accurate and efficient prediction...

Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis.

BACKGROUND: Feature selection is an essential task in single-cell RNA-seq (scRNA-seq) data analysis ...

A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy.

Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for ...

A support vector machine-based cure rate model for interval censored data.

The mixture cure rate model is the most commonly used cure rate model in the literature. In the cont...

Classification of helical polymers with deep-learning language models.

Many macromolecules in biological systems exist in the form of helical polymers. However, the inhere...

A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis.

BACKGROUND: The precise prediction of epidermal growth factor receptor (EGFR) mutation status and gr...

Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

Investigators have recently introduced powerful methods for population genetic inference that rely o...

Genetically encoded multimeric tags for subcellular protein localization in cryo-EM.

Cryo-electron tomography (cryo-ET) allows for label-free high-resolution imaging of macromolecular a...

An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD.

INTRODUCTION: Accurate tools to inform individual prognosis in patients with autosomal dominant poly...

Leveraging attention-enhanced variational autoencoders: Novel approach for investigating latent space of aptamer sequences.

Aptamers are increasingly recognized as potent alternatives to antibodies for diagnostic and therape...

Computational methods in glaucoma research: Current status and future outlook.

Advancements in computational techniques have transformed glaucoma research, providing a deeper unde...

AliNA - a deep learning program for RNA secondary structure prediction.

Nowadays there are numerous discovered natural RNA variations participating in different cellular pr...

A hybrid machine learning feature selection model-HMLFSM to enhance gene classification applied to multiple colon cancers dataset.

Colon cancer is a significant global health problem, and early detection is critical for improving s...

Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events.

Short QT syndrome (SQTS) is an inherited cardiac ion-channel disease related to an increased risk of...

Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models.

The data explosion driven by advancements in genomic research, such as high-throughput sequencing te...

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