Cargando…

A machine learning framework for accurately recognizing circular RNAs for clinical decision-supporting

BACKGROUND: Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical transcripts, and further associated with complex diseases. Several computational m...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Yidan, Zhang, Xuanping, Wang, Tao, Xing, Jinchun, Wu, Zhun, Li, Wei, Wang, Jiayin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346313/ https://www.ncbi.nlm.nih.gov/pubmed/32646420 http://dx.doi.org/10.1186/s12911-020-1117-0

Ejemplares similares

An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data
por: Zhang, Xuanping, et al.
Publicado: (2018)

AttnTAP: A Dual-input Framework Incorporating the Attention Mechanism for Accurately Predicting TCR-peptide Binding
por: Xu, Ying, et al.
Publicado: (2022)

OCRFinder: a noise-tolerance machine learning method for accurately estimating open chromatin regions
por: Ren, Jiayi, et al.
Publicado: (2023)

A machine learning framework for genotyping the structural variations with copy number variant
por: Zheng, Tian, et al.
Publicado: (2020)

DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection
por: Xu, Ying, et al.
Publicado: (2022)

OCRDetector: Accurately Detecting Open Chromatin Regions via Plasma Cell-Free DNA Sequencing Data
por: Wang, Jiayin, et al.
Publicado: (2021)

PEcnv: accurate and efficient detection of copy number variations of various lengths
por: Wang, Xuwen, et al.
Publicado: (2022)

Accurate quantification of circular RNAs identifies extensive circular isoform switching events
por: Zhang, Jinyang, et al.
Publicado: (2020)

Circular RNA CEP128 acts as a sponge of miR-145-5p in promoting the bladder cancer progression via regulating SOX11
por: Wu, Zhun, et al.
Publicado: (2018)

HRD-MILN: Accurately estimate tumor homologous recombination deficiency status from targeted panel sequencing data
por: Wang, Xuwen, et al.
Publicado: (2022)

A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology
por: Coombs, Lorinda, et al.
Publicado: (2022)

The Circular Decision-Making Tree: an Operational Framework
por: Greer, Rachel, et al.
Publicado: (2022)

Accurately estimating the length distributions of genomic micro-satellites by tumor purity deconvolution
por: Wang, Yixuan, et al.
Publicado: (2020)

Review of novel functions and implications of circular RNAs in hepatocellular carcinoma
por: Liu, Zheng, et al.
Publicado: (2023)

Accurate Machine Learning Prediction of Protein Circular Dichroism Spectra with Embedded Density Descriptors
por: Zhao, Luyuan, et al.
Publicado: (2021)

Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
por: Kidwai-Khan, Farah, et al.
Publicado: (2022)

Deep learning for accurately recognizing common causes of shoulder pain on radiographs
por: Grauhan, Nils F., et al.
Publicado: (2021)

Comparing machine learning and deep learning regression frameworks for accurate prediction of dielectrophoretic force
por: Ajala, Sunday, et al.
Publicado: (2022)

Machine Learning and Decision Support in Critical Care
por: Johnson, Alistair E. W., et al.
Publicado: (2016)

Editorial: Machine Learning and Decision Support in Stroke
por: Liebeskind, David S., et al.
Publicado: (2020)

Recognizing software names in biomedical literature using machine learning
por: Wei, Qiang, et al.
Publicado: (2019)

Novel potential tumor biomarkers: Circular RNAs and exosomal circular RNAs in gastrointestinal malignancies
por: Wang, Yezhao, et al.
Publicado: (2020)

Circular RNAs in immune responses and immune diseases
por: Chen, Xu, et al.
Publicado: (2019)

To Be or Not to Be: Circular RNAs or mRNAs From Circular DNAs?
por: Iparraguirre, Leire, et al.
Publicado: (2019)

Circular RNAs and esophageal cancer
por: Zhang, Xiaoqing, et al.
Publicado: (2020)

Circular RNAs in Eukaryotic Cells
por: Chen, Liang, et al.
Publicado: (2015)

Circular RNAs in Human Cancer
por: Wang, Xiong, et al.
Publicado: (2021)

A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier
por: Yang, Zhe, et al.
Publicado: (2018)

Emerging Roles of Circular RNAs in Osteosarcoma
por: Wang, Chenyu, et al.
Publicado: (2018)

The Roles of Circular RNAs in Osteosarcoma
por: Zhang, Yong, et al.
Publicado: (2019)

Circular RNAs in vascular diseases
por: Liu, Qiaoyuan, et al.
Publicado: (2023)

DelInsCaller: An Efficient Algorithm for Identifying Delins and Estimating Haplotypes from Long Reads with High Level of Sequencing Errors
por: Wang, Shenjie, et al.
Publicado: (2022)

Circular RNAs in endometrial carcinoma
por: Gao, Shan, et al.
Publicado: (2022)

Resource allocation in decision support frameworks
por: Phelps, Charles, et al.
Publicado: (2018)

Circular RNAs in and out of Cells: Therapeutic Usages of Circular RNAs
por: Ju, Mingyu, et al.
Publicado: (2023)

Emerging roles of circular RNAs in tuberculosis
por: Wang, Qinglan, et al.
Publicado: (2022)

circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs
por: Aufiero, Simona, et al.
Publicado: (2020)

Roles of circular RNAs in colorectal cancer
por: Zhang, Mingying, et al.
Publicado: (2021)

Circular RNAs and Their Role in Exosomes
por: Han, Zeping, et al.
Publicado: (2022)

Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data
por: Nguyen, Dat Thanh, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_ds426133ajai5nq7fq7mg2av8u