Genetics

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

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Showing 3697-3717 of 11,104 articles
Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecalling.

BACKGROUND: Nanopore-based DNA sequencing relies on basecalling the electric current signal. Basecal...

Apr 2023 37041647
NeuronMotif: Deciphering cis-regulatory codes by layer-wise demixing of deep neural networks.

Discovering DNA regulatory sequence motifs and their relative positions is vital to understanding th...

Apr 2023 37023129
Current developments and perspectives in psoriasis.

The study of psoriasis has yielded fundamental new insights into immunologic regulation and innovati...

Apr 2023 37016915
BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images.

Breast cancer is the most common malignancy in women, with over 40,000 deaths annually in the United...

Apr 2023 37014891
Hybrid Multitask Learning Reveals Sequence Features Driving Specificity in the CRISPR/Cas9 System.

CRISPR/Cas9 technology is capable of precisely editing genomes and is at the heart of various scient...

Apr 2023 37189388
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data.

Cell type identification from single-cell transcriptomic data is a common goal of single-cell RNA se...

Apr 2023 35536811
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.

DNA-binding proteins (DBPs) have a significant impact on many life activities, so identification of ...

Apr 2023 35731758
Self-Attention Based Neural Network for Predicting RNA-Protein Binding Sites.

Proteins binding to Ribonucleic Acid (RNA) inside cells are called RNA-binding proteins (RBP), which...

Apr 2023 36067103
Graph Transformer for Drug Response Prediction.

Previous models have shown that learning drug features from their graph representation is more effic...

Apr 2023 36107906
Synthetic biology, genetic circuits and machine learning: a new age of cancer therapy.

Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notabl...

Apr 2023 37002698
Precision engineering of biological function with large-scale measurements and machine learning.

As synthetic biology expands and accelerates into real-world applications, methods for quantitativel...

Mar 2023 36989327
CRMSNet: A deep learning model that uses convolution and residual multi-head self-attention block to predict RBPs for RNA sequence.

RNA-binding proteins (RBPs) play significant roles in many biological life activities, many algorith...

Mar 2023 36935548
Applying T-classifier, binary classifiers, upon high-throughput TCR sequencing output to identify cytomegalovirus exposure history.

With the continuous development of information technology and the running speed of computers, the de...

Mar 2023 36977685
MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases.

We present a deep-learning-based platform, MIND-S, for protein post-translational modification (PTM)...

Mar 2023 37056379
Cell type-specific interpretation of noncoding variants using deep learning-based methods.

Interpretation of noncoding genomic variants is one of the most important challenges in human geneti...

Mar 2023 36971292
Robust deep learning object recognition models rely on low frequency information in natural images.

Machine learning models have difficulty generalizing to data outside of the distribution they were t...

Mar 2023 36972288
Accurate Prediction of Transcriptional Activity of Single Missense Variants in HIV Tat with Deep Learning.

Tat is an essential gene for increasing the transcription of all HIV genes, and affects HIV replicat...

Mar 2023 37047108
Cue: a deep-learning framework for structural variant discovery and genotyping.

Structural variants (SVs) are a major driver of genetic diversity and disease in the human genome an...

Mar 2023 36959322
Predicting mutational function using machine learning.

Genetic variations are one of the major causes of phenotypic variations between human individuals. A...

Mar 2023 36965820
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