Genetics

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

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Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.

An early and accurate pregnancy diagnosis method is required to improve the reproductive performance...

An active learning approach for clustering single-cell RNA-seq data.

Single-cell RNA sequencing (scRNA-seq) data has been widely used to profile cellular heterogeneities...

Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration.

The purpose of this study was to detect the presence of retinitis pigmentosa (RP) based on color fun...

Predicting HIV drug resistance using weighted machine learning method at target protein sequence-level.

Acquired immune deficiency syndrome (AIDS) is a fatal disease caused by human immunodeficiency virus...

Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph.

Triaging and prioritising patients for RT-PCR test had been essential in the management of COVID-19 ...

A machine learning approach for accurate and real-time DNA sequence identification.

BACKGROUND: The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging alternati...

Single-cell classification using graph convolutional networks.

BACKGROUND: Analyzing single-cell RNA sequencing (scRNAseq) data plays an important role in understa...

An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation.

Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...

WHISTLE server: A high-accuracy genomic coordinate-based machine learning platform for RNA modification prediction.

The primary sequences of DNA, RNA and protein have been used as the dominant information source of e...

Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine.

The recent deluge of genome-wide technologies for the mapping of the epigenome and resulting data in...

Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation.

Current understanding of the underlying molecular network and mechanism for attention-deficit hypera...

ncRDense: A novel computational approach for classification of non-coding RNA family by deep learning.

With the rapidly growing importance of biological research, non-coding RNAs (ncRNA) attract more att...

InpherNet accelerates monogenic disease diagnosis using patients' candidate genes' neighbors.

PURPOSE: Roughly 70% of suspected Mendelian disease patients remain undiagnosed after genome sequenc...

Gene Position Index Mutation Detection Algorithm Based on Feedback Fast Learning Neural Network.

In the detection of genome variation, the research on the internal correlation of reference genome i...

Photonic Crystal Fiber-Based Reconfigurable Biosensor Using Phase Change Material.

A reconfigurable biosensor with different spectral sensitivities could provide new opportunities to ...

Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.

Combining microfluidics technology with machine learning represents an innovative approach to conduc...

A Deep Learning Approach for Segmentation, Classification, and Visualization of 3-D High-Frequency Ultrasound Images of Mouse Embryos.

Segmentation and mutant classification of high-frequency ultrasound (HFU) mouse embryo brain ventric...

Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications.

Recent studies suggest that epi-transcriptome regulation via post-transcriptional RNA modifications ...

IoU Regression with H+L-Sampling for Accurate Detection Confidence.

It is a common paradigm in object detection frameworks that the samples in training and testing have...

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