Genetics

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

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Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ...

Machine learning for cell type classification from single nucleus RNA sequencing data.

With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping ...

Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction.

In this study, Machine learning (ML) models integrated with genetic algorithm (GA) and particle swar...

Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer.

BACKGROUND: Despite the fact that tumor microenvironment (TME) and gene mutations are the main deter...

DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA Sequences.

N6,2'-O-dimethyladenosine (mAm) is a post-transcriptional modification that may be associated with r...

Context dependent prediction in DNA sequence using neural networks.

One way to better understand the structure in DNA is by learning to predict the sequence. Here, we t...

GMP: A Genetic Mission Planner for Heterogeneous Multirobot System Applications.

The use of multiagent systems (MASs) in real-world applications keeps increasing, and diffuses into ...

Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization.

This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJS...

Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington's disease models.

Organoids are carrying the promise of modeling complex disease phenotypes and serving as a powerful ...

Detection of Breast Cancer Lump and BRCA1/2 Genetic Mutation under Deep Learning.

To diagnose and cure breast cancer early, thus reducing the mortality of patients with breast cancer...

Dynamic Database Design of Sports Quality Based on Genetic Data Algorithm and Artificial Intelligence.

According to the traditional data mining method, it is no longer applicable to obtain knowledge from...

Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach.

The development of unusual cells in the cerebrum causes brain cancer. It is classified primarily int...

MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model.

With the continuous development of deep learning, more and more domains use deep learning technique ...

DeeProPre: A promoter predictor based on deep learning.

The promoter is a DNA sequence recognized, bound and transcribed by RNA polymerase. It is usually lo...

A model for predicting ncRNA-protein interactions based on graph neural networks and community detection.

Non-coding RNA (ncRNA) s play an considerable role in the current biological sciences, such as gene ...

Transforming L1000 profiles to RNA-seq-like profiles with deep learning.

The L1000 technology, a cost-effective high-throughput transcriptomics technology, has been applied ...

Optimization of Residential Landscape Design and Supply Chain System Using Intelligent Fuzzy Cognitive Map and Genetic Algorithm.

This work intends to optimize residential landscape design and Supply Chain (SC) network systems. Fi...

A Fast Decision Algorithm for VVC Intra-Coding Based on Texture Feature and Machine Learning.

Due to the development and application of information technology, a series of modern information tec...

TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile.

Determining transcriptional factor binding sites (TFBSs) is critical for understanding the molecular...

Identification of Unique Genetic Biomarkers of Various Subtypes of Glomerulonephritis Using Machine Learning and Deep Learning.

(1) Objective: Identification of potential genetic biomarkers for various glomerulonephritis (GN) su...

Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion.

DNA-binding proteins actively participate in life activities such as DNA replication, recombination,...

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