Genetics

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

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LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome.

DNase I hypersensitive sites (DHSs) are a specific genomic region, which is critical to detect or un...

Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.

Melanoma is an aggressive and metastatic skin cancer caused by genetic mutations in melanocytes, and...

Deep mendelian randomization: Investigating the causal knowledge of genomic deep learning models.

Multi-task deep learning (DL) models can accurately predict diverse genomic marks from sequence, but...

Nonlinear decision-making with enzymatic neural networks.

Artificial neural networks have revolutionized electronic computing. Similarly, molecular networks w...

ModuleNet: Knowledge-Inherited Neural Architecture Search.

Although neural the architecture search (NAS) can bring improvement to deep models, it always neglec...

A deep learning approach to real-time HIV outbreak detection using genetic data.

Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A mai...

Comprehensive analysis of epigenomics and transcriptome data to identify potential target genes associated with obesity.

DNA methylation is closely related to the occurrence and development of many diseases, but its role ...

Deep learning of cross-species single-cell landscapes identifies conserved regulatory programs underlying cell types.

Despite extensive efforts to generate and analyze reference genomes, genetic models to predict gene ...

Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins.

A fundamental question in protein science is where allosteric hotspots - residues critical for allos...

Deep learning algorithm reveals two prognostic subtypes in patients with gliomas.

BACKGROUND: Gliomas are highly complex and heterogeneous tumors, rendering prognosis prediction chal...

Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network.

Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in si...

Similar color analysis based on deep learning (SCAD) for multiplex digital PCR a single fluorescent channel.

Digital PCR (dPCR) has recently attracted great interest due to its high sensitivity and accuracy. H...

Generation and Research of Online English Course Learning Evaluation Model Based on Genetic Algorithm Improved Neural Set Network.

The rationality and timeliness of the comprehensive results of English course learning quality are i...

Minimum Functional Length Analysis of K-Mer Based on BPNN.

BP neural network (BPNN), as a multilayer feed-forward network, can realize the deep cognition to ta...

Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules.

In recent years, the non-biological applications of DNA molecules have made considerable progress; m...

Memory Visualization-Based Malware Detection Technique.

Advanced Persistent Threat is an attack campaign in which an intruder or team of intruders establish...

Artificial intelligence in hematological diagnostics: Game changer or gadget?

The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve the i...

DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.

In recent years, major advances have been made in various chromosome conformation capture technologi...

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