Staem5: A novel computational approach for accurate prediction of m5C site

ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites

(2021) Pengyu Liu et al.   BMC BIOINFORMATICS

DNN-m6A: A Cross-Species Method for Identifying RNA N6-methyladenosine Sites Based on Deep Neural Network with Multi-Information Fusion

(2021) Lu Zhang et al.   Genes

Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications

(2021) Zitao Song et al.   Nature Communications

iMRM:a platform for simultaneously identifying multiple kinds of RNA modifications

(2020) Kewei Liu et al.   BIOINFORMATICS

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information

(2020) Hai-Cheng Yi et al.   BMC BIOINFORMATICS

Exploiting XGBoost For Predicting Enhancer-Promoter Interactions.

(2020) Xiaojuan Yu et al.   Current Bioinformatics

6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion

(2020) Qianfei Huang et al.   Frontiers in Plant Science

PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs

(2020) Cangzhi Jia et al.   BIOINFORMATICS

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework

(2020) Fuyi Li et al.   BRIEFINGS IN BIOINFORMATICS

SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting

(2020) Minghui Wang et al.   NEURAL COMPUTING & APPLICATIONS

Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information

(2020) Fuyi Li et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning

(2020) Guishan Zhang et al.   Frontiers in Genetics

Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN

(2020) Salim Heddam et al.   JOURNAL OF HYDROLOGY

Prediction of m5C Modifications in RNA Sequences by Combining Multiple Sequence Features

(2020) Lijun Dou et al.   Molecular Therapy-Nucleic Acids

Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules

(2020) Shutao Mei et al.   BRIEFINGS IN BIOINFORMATICS

XG-ac4C: identification of N4-acetylcytidine (ac4C) in mRNA using eXtreme gradient boosting with electron-ion interaction pseudopotentials

(2020) Waleed Alam et al.   Scientific Reports

An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

(2020) Yue Bi et al.   Molecular Therapy-Nucleic Acids

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

(2019) Fuyi Li et al.   BIOINFORMATICS

LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion

(2019) Cheng Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Boosting phosphorylation site prediction with sequence feature‐based machine learning

(2019) Shyantani Maiti et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Model with the GBDT for colorectal adenoma risk diagnosis

(2019) Junbo Gao et al.   Current Bioinformatics

RNAm5CPred: Prediction of RNA 5-Methylcytosine Sites Based on Three Different Kinds of Nucleotide Composition

(2019) Ting Fang et al.   Molecular Therapy-Nucleic Acids

Accurate RNA 5-methylcytosine site prediction based on heuristic physical-chemical properties reduction and classifier ensemble

(2018) Ming Zhang et al.   ANALYTICAL BIOCHEMISTRY

Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC

(2018) M. Fazli Sabooh et al.   JOURNAL OF THEORETICAL BIOLOGY

Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning

(2018) Jie Song et al.   Frontiers in Plant Science

BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks

(2018) Ruiqing Zheng et al.   BIOINFORMATICS

PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization

(2018) Jialin Yu et al.   BIOINFORMATICS

RNAm5Cfinder: A Web-server for Predicting RNA 5-methylcytosine (m5C) Sites Based on Random Forest

(2018) Jianwei Li et al.   Scientific Reports

RMBase v2.0: deciphering the map of RNA modifications from epitranscriptome sequencing data

(2017) Jia-Jia Xuan et al.   NUCLEIC ACIDS RESEARCH

MODOMICS: a database of RNA modification pathways. 2017 update

(2017) Pietro Boccaletto et al.   NUCLEIC ACIDS RESEARCH

iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition

(2017) Wang-Ren Qiu et al.   Oncotarget

Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions

(2016) Pengmian Feng et al.   Molecular BioSystems

A novel features ranking metric with application to scalable visual and bioinformatics data classification

(2016) Quan Zou et al.   NEUROCOMPUTING

The Mouse Cytosine-5 RNA Methyltransferase NSun2 Is a Component of the Chromatoid Body and Required for Testis Differentiation

(2013) S. Hussain et al.   MOLECULAR AND CELLULAR BIOLOGY

Identification of direct targets and modified bases of RNA cytosine methyltransferases

(2013) Vahid Khoddami et al.   NATURE BIOTECHNOLOGY

ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility

(2012) Guanqun Zheng et al.   MOLECULAR CELL

Widespread occurrence of 5-methylcytosine in human coding and non-coding RNA

(2012) Jeffrey E. Squires et al.   NUCLEIC ACIDS RESEARCH