Genetics

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

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Showing 4579-4599 of 11,117 articles
Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data.

This paper introduces a new hybrid approach (DBH) for solving gene selection problem that incorporat...

May 2021 33974890
MOCCA: a flexible suite for modelling DNA sequence motif occurrence combinatorics.

BACKGROUND: Cis-regulatory elements (CREs) are DNA sequence segments that regulate gene expression. ...

May 2021 33962556
The Application of an Adaptive Genetic Algorithm Based on Collision Detection in Path Planning of Mobile Robots.

An adaptive genetic algorithm based on collision detection (AGACD) is proposed to solve the problems...

May 2021 34035800
Convolutional neural network analysis of recurrence plots for high resolution melting classification.

BACKGROUND AND OBJECTIVE: High resolution melting (HRM) analysis is a rapid and correct method for i...

May 2021 34029831
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction.

Residue co-evolution has become the primary principle for estimating inter-residue distances of a pr...

May 2021 33953201
Application of machine learning to large in vitro databases to identify drug-cancer cell interactions: azithromycin and KLK6 mutation status.

Recent advances in machine learning promise to yield novel insights by interrogation of large datase...

May 2021 33953352
Synthetic single cell RNA sequencing data from small pilot studies using deep generative models.

Deep generative models, such as variational autoencoders (VAEs) or deep Boltzmann machines (DBMs), c...

Apr 2021 33931726
Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review.

This short article describes the method of digital cytopathology using Z-stack scanning with or with...

Apr 2021 33934096
ChrNet: A re-trainable chromosome-based 1D convolutional neural network for predicting immune cell types.

Cells from our immune system detect and kill pathogens to protect our body against various diseases....

Apr 2021 33932523
Histopathological characteristics and artificial intelligence for predicting tumor mutational burden-high colorectal cancer.

BACKGROUND: Tumor mutational burden-high (TMB-H), which is detected with gene panel testing, is a pr...

Apr 2021 33909150
Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.

Artificial intelligence, or the discipline of developing computational algorithms able to perform ta...

Apr 2021 33925407
Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN.

Accurate prediction of cancer stage is important in that it enables more appropriate treatment for p...

Apr 2021 33905431
Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine Learning.

A key hurdle to making adeno-associated virus (AAV) capsid mediated gene therapy broadly beneficial ...

Apr 2021 33986759
Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections.

The opportunistic exchange of information between vehicles can significantly contribute to reducing ...

Apr 2021 33922529
Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data.

Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics and to imp...

Apr 2021 33975088
Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found...

Apr 2021 33968281
Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques.

BACKGROUND/AIMS: To investigate the utility of a data-driven deep learning approach in patients with...

Apr 2021 33879469
Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging.

To study genetic factors associated with brain aging, we first need to quantify brain aging. Statist...

Apr 2021 34098431
Distinguishing Rectal Cancer from Colon Cancer Based on the Support Vector Machine Method and RNA-sequencing Data.

Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Several studies have ...

Apr 2021 33877555
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