Genetics

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

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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...

EnsembleSplice: ensemble deep learning model for splice site prediction.

BACKGROUND: Identifying splice site regions is an important step in the genomic DNA sequencing pipel...

Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides.

To achieve minimum DNA input requirements for next-generation sequencing (NGS), pathologists visuall...

PINC: A Tool for Non-Coding RNA Identification in Plants Based on an Automated Machine Learning Framework.

There is evidence that non-coding RNAs play significant roles in the regulation of nutrient homeosta...

Fully Decoupled Neural Network Learning Using Delayed Gradients.

Training neural networks with backpropagation (BP) requires a sequential passing of activations and ...

Learning Versatile Convolution Filters for Efficient Visual Recognition.

This paper introduces versatile filters to construct efficient convolutional neural networks that ar...

DPProm: A Two-Layer Predictor for Identifying Promoters and Their Types on Phage Genome Using Deep Learning.

With the number of phage genomes increasing, it is urgent to develop new bioinformatics methods for ...

Design of Residents' Sports Nutrition Data Monitoring System Based on Genetic Algorithm.

With the development of modern Internet technology, the health assessment model based on computer te...

Obtaining genetics insights from deep learning via explainable artificial intelligence.

Artificial intelligence (AI) models based on deep learning now represent the state of the art for ma...

Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT.

We describe a protocol to perform fast and non-arbitrary quality control of single-cell RNA sequenci...

Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning.

Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the pro...

The Analysis of Environmental Cost Control of Manufacturing Enterprises Using Deep Learning Optimization Algorithm and Internet of Things.

Under the background of the Internet of things (IoT), the problems between the actual production and...

Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations.

Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within...

Deciphering microbial gene function using natural language processing.

Revealing the function of uncharacterized genes is a fundamental challenge in an era of ever-increas...

Multistrategy Improved Sparrow Search Algorithm Optimized Deep Neural Network for Esophageal Cancer.

Deep neural network is a complex pattern recognition network system. It is widely favored by scholar...

CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution.

Directed evolution, a revolutionary biotechnology in protein engineering, optimizes protein fitness ...

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation.

Collagen is the most abundant structural protein in humans, providing crucial mechanical properties,...

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