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

sgRNA-PSM: predict sgRNAs on-target activity based on Position Specific Mismatch

(2020) Bin Liu et al.   Molecular Therapy-Nucleic Acids

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

(2020) Cangzhi Jia et al.   BIOINFORMATICS

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters

(2019) Meng Zhang et al.   BIOINFORMATICS

ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm

(2019) Yanjuan Li et al.   JOURNAL OF PROTEOME RESEARCH

Positive-unlabelled learning of glycosylation sites in the human proteome

(2019) Fuyi Li et al.   BMC BIOINFORMATICS

Transcriptome-wide Mapping of Internal N7-Methylguanosine Methylome in Mammalian mRNA

(2019) Li-Sheng Zhang et al.   MOLECULAR CELL

IRESpy: an XGBoost model for prediction of internal ribosome entry sites

(2019) Junhui Wang et al.   BMC BIOINFORMATICS

XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites

(2019) Kewei Liu et al.   MOLECULAR GENETICS AND GENOMICS

BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches

(2019) Bin Liu et al.   NUCLEIC ACIDS RESEARCH

A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features

(2019) Zhibin Lv et al.   Frontiers in Bioengineering and Biotechnology

AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine

(2019) Chaolu Meng et al.   Frontiers in Bioengineering and Biotechnology

In search of the mRNA modification landscape in plants

(2019) Jagna Chmielowska-Bąk et al.   BMC PLANT BIOLOGY

iRNA-m7G: Identifying N7-methylguanosine Sites by Fusing Multiple Features

(2019) Wei Chen et al.   Molecular Therapy-Nucleic Acids

Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

(2018) Fuyi Li et al.   BIOINFORMATICS

Prediction of citrullination sites by incorporating k-spaced amino acid pairs into Chou's general pseudo amino acid composition

(2018) Zhe Ju et al.   GENE

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods

(2018) Fuyi Li et al.   BRIEFINGS IN BIOINFORMATICS

BERMP: a cross-species classifier for predicting m6A sites by integrating a deep learning algorithm and a random forest approach

(2018) Yu Huang et al.   International Journal of Biological Sciences

Identification of drug-side effect association via multiple information integration with centered kernel alignment

(2018) Yijie Ding et al.   NEUROCOMPUTING

MODOMICS: a database of RNA modification pathways. 2017 update

(2017) Pietro Boccaletto et al.   NUCLEIC ACIDS RESEARCH

SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features

(2016) Yuan Zhou et al.   NUCLEIC ACIDS RESEARCH

Discovery of m7G-cap in eukaryotic mRNAs

(2015) Yasuhiro FURUICHI   PROCEEDINGS OF THE JAPAN ACADEMY SERIES B-PHYSICAL AND BIOLOGICAL SCIENCES

PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition

(2014) Wei Chen et al.   ANALYTICAL BIOCHEMISTRY

CD-HIT: accelerated for clustering the next-generation sequencing data

(2012) Limin Fu et al.   BIOINFORMATICS

Prediction of lysine ubiquitination with mRMR feature selection and analysis

(2011) Yudong Cai et al.   AMINO ACIDS

Regulation of mRNA cap methylation

(2009) Victoria H. Cowling   BIOCHEMICAL JOURNAL