Cargando…

m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation

BACKGROUND: RNA 5-methyluridine (m5U) modifications are obtained by methylation at the C(5) position of uridine catalyzed by pyrimidine methylation transferase, which is related to the development of human diseases. Accurate identification of m5U modification sites from RNA sequences can contribute...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ao, Chunyan, Ye, Xiucai, Sakurai, Tetsuya, Zou, Quan, Yu, Liang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127088/ https://www.ncbi.nlm.nih.gov/pubmed/37095510 http://dx.doi.org/10.1186/s12915-023-01596-0

Ejemplares similares

RNADSN: Transfer-Learning 5-Methyluridine (m(5)U) Modification on mRNAs from Common Features of tRNA
por: Li, Zhirou, et al.
Publicado: (2022)

m5U-GEPred: prediction of RNA 5-methyluridine sites based on sequence-derived and graph embedding features
por: Xu, Zhongxing, et al.
Publicado: (2023)

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites
por: Jiao, Shihu, et al.
Publicado: (2023)

Pyrimidine catabolism is required to prevent the accumulation of 5-methyluridine in RNA
por: Gao, Shangyu, et al.
Publicado: (2023)

Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data
por: Zhang, Xuegong, et al.
Publicado: (2006)

SVM-RFE: selection and visualization of the most relevant features through non-linear kernels
por: Sanz, Hector, et al.
Publicado: (2018)

m5UPred: A Web Server for the Prediction of RNA 5-Methyluridine Sites from Sequences
por: Jiang, Jie, et al.
Publicado: (2020)

An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis
por: Zou, Chuanxin, et al.
Publicado: (2013)

m5CPred-SVM: a novel method for predicting m5C sites of RNA
por: Chen, Xiao, et al.
Publicado: (2020)

Drug response prediction using graph representation learning and Laplacian feature selection
por: Xie, Minzhu, et al.
Publicado: (2022)

Selectivity in C-alkylation of dianions of protected 6-methyluridine
por: Nguyen, Ngoc Hoa, et al.
Publicado: (2011)

Non-Catalyzed Click Reactions of ADIBO Derivatives with 5-Methyluridine Azides and Conformational Study of the Resulting Triazoles
por: Smyslova, Petra, et al.
Publicado: (2015)

Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy
por: Yu, Lezheng, et al.
Publicado: (2023)

Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE
por: Wang, Chao, et al.
Publicado: (2023)

Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
por: Ye, Xiucai, et al.
Publicado: (2019)

SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier
por: Huang, Mei-Ling, et al.
Publicado: (2014)

Multi-view feature selection for identifying gene markers: a diversified biological data driven approach
por: Acharya, Sudipta, et al.
Publicado: (2020)

iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features
por: Nguyen-Vo, Thanh-Hoang, et al.
Publicado: (2019)

ADME studies of [5‐(3)H]‐2′‐O‐methyluridine nucleoside in mice: a building block in siRNA therapeutics
por: Lozac'h, Frederic, et al.
Publicado: (2016)

Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest
por: Liao, Zhijun, et al.
Publicado: (2016)

Weighted Feature Gaussian Kernel SVM for Emotion Recognition
por: Wei, Wei, et al.
Publicado: (2016)

PCG Classification Using Multidomain Features and SVM Classifier
por: Tang, Hong, et al.
Publicado: (2018)

Identification of a 2′-O-Methyluridine Nucleoside Hydrolase Using the Metagenomic Libraries
por: Aučynaitė, Agota, et al.
Publicado: (2018)

An SVM-based system for predicting protein subnuclear localizations
por: Lei, Zhengdeng, et al.
Publicado: (2005)

A flexible representation of omic knowledge for thorough analysis of microarray data
por: Hasegawa, Yoshikazu, et al.
Publicado: (2006)

Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence
por: Du, Pufeng, et al.
Publicado: (2006)

Protein-protein interaction prediction using a hybrid feature representation and a stacked generalization scheme
por: Chen, Kuan-Hsi, et al.
Publicado: (2019)

LipocalinPred: a SVM-based method for prediction of lipocalins
por: Ramana, Jayashree, et al.
Publicado: (2009)

Enhancing SVM for survival data using local invariances and weighting
por: Sanz, Hector, et al.
Publicado: (2020)

Sequence-based identification of recombination spots using pseudo nucleic acid representation and recursive feature extraction by linear kernel SVM
por: Li, Liqi, et al.
Publicado: (2014)

Resolution invariant wavelet features of melanoma studied by SVM classifiers
por: Surówka, Grzegorz, et al.
Publicado: (2019)

Disorder recognition in clinical texts using multi-label structured SVM
por: Lin, Wutao, et al.
Publicado: (2017)

Induced Representations of $U_{q}so(5)$
por: Parashar, P
Publicado: (2002)

Multi-view feature representation and fusion for drug-drug interactions prediction
por: Wang, Jing, et al.
Publicado: (2023)

Detection of atypical genes in virus families using a one-class SVM
por: Metzler, Saskia, et al.
Publicado: (2014)

MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features
por: Ding, Jiandong, et al.
Publicado: (2010)

Tuning Immobilized Enzyme Features by Combining Solid-Phase Physicochemical Modification and Mineralization
por: Guimarães, José R., et al.
Publicado: (2022)

Feature selection for gene prediction in metagenomic fragments
por: Al-Ajlan, Amani, et al.
Publicado: (2018)

Feature related multi-view nonnegative matrix factorization for identifying conserved functional modules in multiple biological networks
por: Wang, Peizhuo, et al.
Publicado: (2018)

DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins
por: Gong, Yuxin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_m0tc7schou3p8ckhdfdjsob4db