Genetics

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

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A Study on the Prediction of Cancer Using Whole-Genome Data and Deep Learning.

The number of patients diagnosed with cancer continues to increasingly rise, and has nearly doubled ...

Multinomial Convolutions for Joint Modeling of Regulatory Motifs and Sequence Activity Readouts.

A common goal in the convolutional neural network (CNN) modeling of genomic data is to discover spec...

Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction.

The first paradigm of plant breeding involves direct selection-based phenotypic observation, followe...

A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns.

Enhancers regulate gene expression, by playing a crucial role in the synthesis of RNAs and proteins....

Effectiveness Assessment of College Ideological and Political Courses Using BP Neural Networks in Network Environment.

We will not be able to provide educators with the assistance they require to implement the network I...

Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.

Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key pla...

BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism.

BACKGROUND: RNA Secondary Structure (RSS) has drawn growing concern, both for their pivotal roles in...

Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data.

Species tree estimation is frequently based on phylogenomic approaches that use multiple genes from ...

One shot ancient character recognition with siamese similarity network.

Ancient character recognition is not only important for the study and understanding of ancient histo...

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.

It has been widely recognized that the efficient training of neural networks (NNs) is crucial to cla...

Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology.

Arts and crafts, with their very different styles due to many factors such as times, regions, techno...

-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.

Protein-protein interactions (PPIs) are involved in almost all biological processes in the cell. Und...

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding.

Accurate prediction of DNA-protein binding (DPB) is of great biological significance for studying th...

Towards computational solutions for precision medicine based big data healthcare system using deep learning models: A review.

The emergence of large-scale human genome projects, advances in DNA sequencing technologies, and the...

Application of Feature Selection and Deep Learning for Cancer Prediction Using DNA Methylation Markers.

DNA methylation is a process that can affect gene accessibility and therefore gene expression. In th...

The Use of Thinking Visualization Techniques in College Teaching Based on Improved Genetic Algorithms.

Current educational resources do not maximize energy efficiency, and scientific and proven teaching ...

Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis.

Inflammatory bowel disease (IBD) is a chronic immune-mediated disease of the gastrointestinal tract....

iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.

BACKGROUND AND OBJECTIVE: The promoter is a fragment of DNA and a specific sequence with transcripti...

Automated filtering of genome-wide large deletions through an ensemble deep learning framework.

Computational methods based on whole genome linked-reads and short-reads have been successful in gen...

Taxonomic classification of DNA sequences beyond sequence similarity using deep neural networks.

Taxonomic classification, that is, the assignment to biological clades with shared ancestry, is a co...

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