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References from m5CStack: An integrated framework for m5C site prediction using multi-feature stacking. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1039/c6cs00599c
10.1039/c6cs00599c · External reference
10.1146/annurev-biochem-060713-035513
10.1146/annurev-biochem-060713-035513 · External reference
10.1038/s41580-019-0143-1
10.1038/s41580-019-0143-1 · External reference
5-methylcytosine, gene regulation, and cancer
1983 · External reference
10.1093/nar/gkp1117
10.1093/nar/gkp1117 · External reference
5-methylcytosine rna methyltransferases and their potential roles in cancer
10.1186/s12967-022-03427-2 · 2022 · External reference
Multiple links between 5-methylcytosine content of mrna and translation
2020 · External reference
10.1016/j.bbagrm.2018.12.003
10.1016/j.bbagrm.2018.12.003 · External reference
The dynamic rna modification 5-methylcytosine and its emerging role as an epitranscriptomic mark
10.1002/wrna.1510 · 2019 · External reference
10.1186/s40364-022-00362-8
10.1186/s40364-022-00362-8 · External reference
10.3390/genes10020102
10.3390/genes10020102 · External reference
10.1038/s41467-020-16722-7
10.1038/s41467-020-16722-7 · External reference
The role of rna m5c modification in cancer metastasis
10.7150/ijbs.61439 · 2021 · External reference
m5c rna methylation: a potential mechanism for infectious Alzheimer's disease
10.3389/fcell.2024.1440143 · 2024 · External reference
10.1007/s12035-022-03195-6
10.1007/s12035-022-03195-6 · External reference
10.1371/journal.pgen.1003602
10.1371/journal.pgen.1003602 · External reference
A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual dna strands
10.1073/pnas.89.5.1827 · 1992 · External reference
Artificial intelligence and robotics in high throughput post-genomics
10.1016/s1359-6446(05)03581-6 · 2005 · External reference
Transcriptome-wide annotation of m5c rna modifications using machine learning
10.3389/fpls.2018.00519 · 2018 · External reference
Machine-learning-based m5c score for the prognosis diagnosis of osteosarcoma
2021 · External reference
m5c-related signatures for predicting prognosis in cutaneous melanoma with machine learning
2021 · External reference
Identifying rna 5-methylcytosine sites via pseudo nucleotide compositions
10.1039/c6mb00471g · 2016 · External reference
irnam5c-psednc: identifying rna 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition
10.18632/oncotarget.17104 · 2017 · External reference
Accurate rna 5-methylcytosine site prediction based on heuristic physical-chemical properties reduction and classifier ensemble
10.1016/j.ab.2018.03.027 · 2018 · External reference
Identifying 5-methylcytosine sites in rna sequence using composite encoding feature into chou's pseknc
10.1016/j.jtbi.2018.04.037 · 2018 · External reference
Rnam5cfinder: a web-server for predicting rna 5-methylcytosine (m5c) sites based on random forest
10.1038/s41598-018-35502-4 · 2018 · External reference
10.1016/j.ymthe.2023.05.016
10.1016/j.ymthe.2023.05.016 · External reference
Rnam5cpred: prediction of rna 5-methylcytosine sites based on three different kinds of nucleotide composition
10.1016/j.omtn.2019.10.008 · 2019 · External reference
m5c-seq: machine learning-enhanced profiling of rna 5-methylcytosine modifications
10.1016/j.compbiomed.2024.109087 · 2024 · External reference
m5c-atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5c) epitranscriptome
10.1093/nar/gkab1075 · 2022 · External reference
10.1093/nar/gkad965
10.1093/nar/gkad965 · External reference
Trim galore!: a wrapper around cutadapt and fastqc to consistently apply adapter and quality trimming to fastq files, with extra functionality for rrbs data
2015 · External reference
merantk: methylated rna analysis toolkit
10.1093/bioinformatics/btv647 · 2016 · External reference
ifeatureomega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets
10.1093/nar/gkac351 · 2022 · External reference
Scikit-learn: machine learning in python
2011 · External reference
Stack-avp: a stacked ensemble predictor based on multi-view information for fast and accurate discovery of antiviral peptides
2024 · External reference
Rpi-mdlstack: predicting rna–protein interactions through deep learning with stacking strategy and lasso
10.1016/j.asoc.2022.108676 · 2022 · External reference
Stackdili: enhancing drug-induced liver injury prediction through stacking strategy with effective molecular representations
2025 · External reference
10.1109/dsmp.2018.8478522
10.1109/dsmp.2018.8478522 · 2018 · External reference
Visualizing data using t-sne
2008 · External reference
Unresolved reference
2020 · External reference
The advantages of the Matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation
2020 · External reference
10.1136/emermed-2017-206735
10.1136/emermed-2017-206735 · External reference
Evaluation of different computational methods on 5-methylcytosine sites identification
10.1093/bib/bbz048 · 2020 · External reference
10.1145/1102351.1102430
10.1145/1102351.1102430 · 2005 · External reference
Statistical comparisons of classifiers over multiple data sets
2006 · External reference
Approximate statistical tests for comparing supervised classification learning algorithms
10.1162/089976698300017197 · 1998 · External reference
10.1007/978-3-540-24775-3_3
10.1007/978-3-540-24775-3_3 · 2004 · External reference
A robust ensemble framework for anticancer peptide classification using multi-model voting approach
10.1016/j.compbiomed.2025.109750 · 2025 · External reference
