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Subcategories: Genetics

Showing 2437-2457 of 10,414 articles

CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.

Almost all of Earth's oceans are now impacted by multiple anthropogenic stressors, including the spr...

Jul 2023 PMID: 37439822

Multi-batch single-cell comparative atlas construction by deep learning disentanglement.

Cell state atlases constructed through single-cell RNA-seq and ATAC-seq analysis are powerful tools ...

Jul 2023 PMID: 37433791

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.

Artificial Intelligence and Machine learning have been widely used in various fields of mathematical...

Jul 2023 PMID: 37480771

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications.

Recent research has highlighted the pivotal role of RNA post-transcriptional modifications in the re...

Jul 2023 PMID: 37515874

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.

RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and, when dysfunct...

Jul 2023 PMID: 37421941

Explainable multi-task learning improves the parallel estimation of polygenic risk scores for many diseases through shared genetic basis.

Many complex diseases share common genetic determinants and are comorbid in a population. We hypothe...

Jul 2023 PMID: 37418352

A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.

BACKGROUND: Identifying genetic patterns that contribute to Alzheimer's disease (AD) is important no...

Jul 2023 PMID: 37409680

Harnessing the power of artificial intelligence to advance cell therapy.

Cell therapies are powerful technologies in which human cells are reprogrammed for therapeutic appli...

Jul 2023 PMID: 37415280

Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.

The Cox proportional hazard model has been widely applied to cancer prognosis prediction. Nowadays, ...

Jul 2023 PMID: 34596560

A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) has demonstrated ...

Jul 2023 PMID: 37403567

Browse Categories

CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.

Multi-batch single-cell comparative atlas construction by deep learning disentanglement.

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications.

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.

Explainable multi-task learning improves the parallel estimation of polygenic risk scores for many diseases through shared genetic basis.

A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.

Harnessing the power of artificial intelligence to advance cell therapy.

Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.

A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

High accuracy epidermal growth factor receptor mutation prediction via histopathological deep learning.

Prediction of on-target and off-target activity of CRISPR-Cas13d guide RNAs using deep learning.

Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring.

The prediction of drug sensitivity by multi-omics fusion reveals the heterogeneity of drug response in pan-cancer.

Deep learning applications in single-cell genomics and transcriptomics data analysis.

Sampling effect in predicting the evolutionary response of populations to climate change.

GR-m6A: Prediction of N6-methyladenosine sites in mammals with molecular graph and residual network.

Noninvasive genetic screening: current advances in artificial intelligence for embryo ploidy prediction.

Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders.

Supervised learning and model analysis with compositional data.

Classification and deep-learning-based prediction of Alzheimer disease subtypes by using genomic data.

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