Cargando…

Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent responsible for coronavirus disease 2019 (COVID-19), has affected the lives of billions and killed millions of infected people. This virus has been demonstrated to have different outcomes among individuals, with...

Descripción completa

Detalles Bibliográficos
Autores principales:	Flores, Mario A., Paniagua, Karla, Huang, Wenjian, Ramirez, Ricardo, Falcon, Leonardo, Liu, Andy, Chen, Yidong, Huang, Yufei, Jin, Yufang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777824/ https://www.ncbi.nlm.nih.gov/pubmed/36553530 http://dx.doi.org/10.3390/genes13122264

Ejemplares similares

307 Machine learning identification of diabetic foot ulcer severity to reduce amputation risk
por: Flores, Mario, et al.
Publicado: (2023)

Predicting and characterizing a cancer dependency map of tumors with deep learning
por: Chiu, Yu-Chiao, et al.
Publicado: (2021)

Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions
por: Zhang, Ting-He, et al.
Publicado: (2022)

On the role of deep learning model complexity in adversarial robustness for medical images
por: Rodriguez, David, et al.
Publicado: (2022)

Detection of high variability in gene expression from single-cell RNA-seq profiling
por: Chen, Hung-I Harry, et al.
Publicado: (2016)

Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods
por: Zhang, Song-Yao, et al.
Publicado: (2019)

BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database
por: Ma, Chifeng, et al.
Publicado: (2013)

CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training
por: Mostavi, Milad, et al.
Publicado: (2021)

Direct learning-based deep spiking neural networks: a review
por: Guo, Yufei, et al.
Publicado: (2023)

El documental como crisol : análisis de tres clásicos para una antropología de la imagen /
por: Paniagua Ramírez, Karla
Publicado: (2013)

El documental como crisol : análisis de tres clásicos para una antropología de la imagen /
por: Paniagua Ramírez, Karla
Publicado: (2007)

Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis
por: Flores, Mario, et al.
Publicado: (2013)

Deep-reinforcement-learning-based water diversion strategy
por: Jiang, Qingsong, et al.
Publicado: (2023)

Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis
por: Cancian, Pierandrea, et al.
Publicado: (2021)

Digging deep into Golgi phenotypic diversity with unsupervised machine learning
por: Hussain, Shaista, et al.
Publicado: (2017)

GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization
por: Chen, Hung-I Harry, et al.
Publicado: (2018)

Characterization of mRNA Profiles of Exosomes from Diverse Forms of M2 Macrophages
por: Yue, Yuan, et al.
Publicado: (2020)

A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients
por: Ren, Ge, et al.
Publicado: (2022)

Selected articles from the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'2011)
por: Pal, Ranadip, et al.
Publicado: (2012)

MeT-DB: a database of transcriptome methylation in mammalian cells
por: Liu, Hui, et al.
Publicado: (2014)

Predicting drug response of tumors from integrated genomic profiles by deep neural networks
por: Chiu, Yu-Chiao, et al.
Publicado: (2019)

Diversity Evolutionary Policy Deep Reinforcement Learning
por: Liu, Jian, et al.
Publicado: (2021)

Prognosis patients with COVID-19 using deep learning
por: Guadiana-Alvarez, José Luis, et al.
Publicado: (2022)

Correction to: Predicting drug response of tumors from integrated genomic profiles by deep neural networks
por: Chiu, Yu-Chiao, et al.
Publicado: (2019)

Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method
por: Huang, Kai-Yao, et al.
Publicado: (2019)

Recommendation of Business Models for Agriculture-Related Platforms Based on Deep Learning
por: Zhou, Yufei, et al.
Publicado: (2022)

Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning
por: Hou, Jiaxin, et al.
Publicado: (2022)

A Bayesian decision fusion approach for microRNA target prediction
por: Yue, Dong, et al.
Publicado: (2012)

Prediction of trabecular bone architectural features by deep learning models using simulated DXA images
por: Xiao, Pengwei, et al.
Publicado: (2020)

Deep Learning in Diverse Intelligent Sensor Based Systems
por: Zhu, Yanming, et al.
Publicado: (2022)

Deep learning
por: Huang, Kaizhu, et al.
Publicado: (2019)

Bayesian non-negative factor analysis for reconstructing transcription factor mediated regulatory networks
por: Meng, Jia, et al.
Publicado: (2011)

Convolutional neural network models for cancer type prediction based on gene expression
por: Mostavi, Milad, et al.
Publicado: (2020)

Learning Macromanagement in Starcraft by Deep Reinforcement Learning
por: Huang, Wenzhen, et al.
Publicado: (2021)

Diversity oriented Deep Reinforcement Learning for targeted molecule generation
por: Pereira, Tiago, et al.
Publicado: (2021)

Estimating Alpha, Beta, and Gamma Diversity Through Deep Learning
por: Andermann, Tobias, et al.
Publicado: (2022)

The Value of Deep Learning in Gallbladder Lesion Characterization
por: Yin, Yunchao, et al.
Publicado: (2023)

A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images
por: Jin, Yufei, et al.
Publicado: (2023)

A Structure-Related Fine-Grained Deep Learning System With Diversity Data for Universal Glaucoma Visual Field Grading
por: Huang, Xiaoling, et al.
Publicado: (2022)

An Infrastructure-Free Magnetic-Based Indoor Positioning System with Deep Learning
por: Fernandes, Letícia, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_jlaft9k72a300p1u5roim1hm0r