Genetics

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

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Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data.

Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of the br...

Network-based drug sensitivity prediction.

BACKGROUND: Drug sensitivity prediction and drug responsive biomarker selection on high-throughput g...

Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure.

Heart failure is a global health problem that affects approximately 26 million people worldwide. As ...

Systems Approach to Pathogenic Mechanism of Type 2 Diabetes and Drug Discovery Design Based on Deep Learning and Drug Design Specifications.

In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for id...

Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data.

Real-time reverse transcription (RT) PCR is the gold standard for detecting Severe Acute Respiratory...

Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs.

The global population is at present suffering from a pandemic of Coronavirus disease 2019 (COVID-19)...

pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters.

A promoter is a small region within the DNA structure that has an important role in initiating trans...

Analysis of heterogeneous genomic samples using image normalization and machine learning.

BACKGROUND: Analysis of heterogeneous populations such as viral quasispecies is one of the most chal...

Modeling the human aging transcriptome across tissues, health status, and sex.

Aging in humans is an incredibly complex biological process that leads to increased susceptibility t...

Necrotic enteritis challenge regulates peroxisome proliferator-1 activated receptors signaling and β-oxidation pathways in broiler chickens.

Necrotic enteritis (NE) is an important enteric disease in poultry and has become a major concern in...

Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity.

Determination of pile bearing capacity is essential in pile foundation design. This study focused on...

Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model.

Double-stranded DNA (dsDNA) has been established as an efficient medium for charge migration, bringi...

Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer Survivors.

BACKGROUND: Despite known clinical risk factors, predicting anthracycline cardiotoxicity remains cha...

Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.

The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe acute respiratory...

Machine-Learning Single-Stranded DNA Nanoparticles for Bacterial Analysis.

A two-dimensional nanoparticle-single-stranded DNA (ssDNA) array has been assembled for the detectio...

Predicting potential residues associated with lung cancer using deep neural network.

Lung cancer is a prominent type of cancer, which leads to high mortality rate worldwide. The major l...

A meta-learning approach for genomic survival analysis.

RNA sequencing has emerged as a promising approach in cancer prognosis as sequencing data becomes mo...

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