Genetics

Genetics

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

11,255 articles

Subcategories: Genetics

Showing 8653-8673 of 11,255 articles

Model-Based Shared Control of a Hybrid FES-Exoskeleton: An Application in Participant-Specific Robotic Rehabilitation.

Hybrid exoskeleton, comprising an exoskeleton interfaced with functional electrical stimulation (FES...

Sep 2023 37941166

Development of a high-resolution melt-based assay to rapidly detect the azole-resistant isolates.

BACKGROUND AND PURPOSE: is a multidrug-resistant yeast that rapidly spreads, making it the leading ...

Sep 2023 38361960

Predicting functional consequences of SNPs on mRNA translation via machine learning.

The functional impact of single nucleotide polymorphisms (SNPs) on translation has yet to be conside...

Aug 2023 37427781

Learning protein fitness landscapes with deep mutational scanning data from multiple sources.

One of the key points of machine learning-assisted directed evolution (MLDE) is the accurate learnin...

Aug 2023 37591206

LegNet: a best-in-class deep learning model for short DNA regulatory regions.

MOTIVATION: The increasing volume of data from high-throughput experiments including parallel report...

Aug 2023 37490428

Leveraging AI Advances and Online Tools for Structure-Based Variant Analysis.

Understanding how a gene variant affects protein function is important in life science, as it helps ...

Aug 2023 37540795

Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNA.

Ribonucleic acids (RNAs) play crucial roles in living organisms and some of them, such as bacterial ...

Jul 2023 37204195

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery.

Computational analysis of RNA sequences constitutes a crucial step in the field of RNA biology. As i...

Jul 2023 37232359

TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters.

BACKGROUND: Promoters are DNA regions that initiate the transcription of specific genes near the tra...

Jul 2023 37291763

DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape.

Precise targeting of transcription factor binding sites (TFBSs) is essential to comprehending transc...

Jul 2023 37328639

DeepAlloDriver: a deep learning-based strategy to predict cancer driver mutations.

Driver mutations can contribute to the initial processes of cancer, and their identification is cruc...

Jul 2023 37078611

DDMut: predicting effects of mutations on protein stability using deep learning.

Understanding the effects of mutations on protein stability is crucial for variant interpretation an...

Jul 2023 37283042

Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs.

We trained and validated a deep learning model that can predict the treatment response to neoadjuvan...

Jul 2023 38083160

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Model-Based Shared Control of a Hybrid FES-Exoskeleton: An Application in Participant-Specific Robotic Rehabilitation.

Development of a high-resolution melt-based assay to rapidly detect the azole-resistant isolates.

Predicting functional consequences of SNPs on mRNA translation via machine learning.

Learning protein fitness landscapes with deep mutational scanning data from multiple sources.

LegNet: a best-in-class deep learning model for short DNA regulatory regions.

Leveraging AI Advances and Online Tools for Structure-Based Variant Analysis.

Structural interaction fingerprints and machine learning for predicting and explaining binding of small molecule ligands to RNA.

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery.

TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters.

DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape.

DeepAlloDriver: a deep learning-based strategy to predict cancer driver mutations.

DDMut: predicting effects of mutations on protein stability using deep learning.

Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs.

Using machine learning to realize genetic site screening and genomic prediction of productive traits in pigs.

DeepITEH: a deep learning framework for identifying tissue-specific eRNAs from the human genome.

Radiomics in colorectal cancer patients.

Automated Classification of Inherited Retinal Diseases in Optical Coherence Tomography Images Using Few-shot Learning.

DEPP: Deep Learning Enables Extending Species Trees using Single Genes.

Analysis of super-enhancer using machine learning and its application to medical biology.

End-to-end interpretable disease-gene association prediction.

Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review.

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