iORI-ENST: identifying origin of replication sites based on elastic net and stacking learning

PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule

(2021) Jiesheng Wang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features

(2020) Duyen Thi Do et al.   GENOMICS

Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms

(2020) Takuya Oishi et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

PPTPP: A novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning

(2020) Yu P Zhang et al.   BIOINFORMATICS

Use Chou’s 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting

(2020) Shengli Zhang et al.   MOLECULAR GENETICS AND GENOMICS

Computational prediction of species-specific yeast DNA replication origin via iterative feature representation

(2020) Balachandran Manavalan et al.   BRIEFINGS IN BIOINFORMATICS

A two-layer feature selection method using Genetic Algorithm and Elastic Net

(2020) Fatemeh Amini et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Prediction of tablet characteristics based on sparse modeling for residual stresses simulated by the finite element method incorporating Drucker-Prager cap model

(2019) Kozo Takayama et al.   JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY

iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice

(2019) Hao Lv et al.   Frontiers in Genetics

Predicting structural classes of proteins by incorporating their global and local physicochemical and conformational properties into general Chou's PseAAC

(2018) Ernesto Contreras-Torres   JOURNAL OF THEORETICAL BIOLOGY

Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence

(2018) Yunyun Liang et al.   JOURNAL OF THEORETICAL BIOLOGY

Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains

(2018) S. Muthu Krishnan   JOURNAL OF THEORETICAL BIOLOGY

iRSpot-ADPM: Identify recombination spots by incorporating the associated dinucleotide product model into Chou’s pseudo components

(2018) Lichao Zhang et al.   JOURNAL OF THEORETICAL BIOLOGY

iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition

(2018) Muhammad Arif et al.   JOURNAL OF THEORETICAL BIOLOGY

iMethyl-STTNC: Identification of N 6 -methyladenosine sites by extending the Idea of SAAC into Chou's PseAAC to formulate RNA sequences

(2018) Shahid Akbar et al.   JOURNAL OF THEORETICAL BIOLOGY

4mCPred: Machine Learning Methods for DNA N4-methylcytosine sites Prediction

(2018) Wenying He et al.   BIOINFORMATICS

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

(2018) Leyi Wei et al.   BIOINFORMATICS

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition

(2018) Juan Mei et al.   JOURNAL OF THEORETICAL BIOLOGY

Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique

(2018) Fu-Ying Dao et al.   BIOINFORMATICS

PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only

(2017) Leyi Wei et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

(2017) Bin Liu et al.   Molecular Therapy-Nucleic Acids

iRSpot-EL: identify recombination spots with an ensemble learning approach

(2016) Bin Liu et al.   BIOINFORMATICS

iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework

(2016) Bin Liu et al.   BIOINFORMATICS

iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudok-tuple nucleotide composition

(2015) Bin Liu et al.   BIOINFORMATICS

iORI-PseKNC: A predictor for identifying origin of replication with pseudo k-tuple nucleotide composition

(2015) Wen-Chao Li et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC

(2015) Jianhua Jia et al.   JOURNAL OF THEORETICAL BIOLOGY

Impacts of Bioinformatics to Medicinal Chemistry

(2015) Kuo-Chen Chou   Medicinal Chemistry

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

(2015) Wei Chen et al.   Molecular BioSystems

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

(2015) Bin Liu et al.   NUCLEIC ACIDS RESEARCH

Choosing a suitable method for the identification of replication origins in microbial genomes

(2015) Chengcheng Song et al.   Frontiers in Microbiology

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

(2014) Wei Chen et al.   ANALYTICAL BIOCHEMISTRY

Genome-wide characterization and prediction of Arabidopsis thaliana replication origins

(2014) Yong-qiang Xing et al.   BIOSYSTEMS

Prediction of replication origins by calculating DNA structural properties

(2012) Wei Chen et al.   FEBS LETTERS

Genome-wide localization of replication factors

(2012) Yoav Lubelsky et al.   METHODS

Asymmetry Indices for Analysis and Prediction of Replication Origins in Eukaryotic Genomes

(2012) Marie-Claude Marsolier-Kergoat   PLoS One

Eukaryotic DNA replication origins: many choices for appropriate answers

(2010) Marcel Méchali   NATURE REVIEWS MOLECULAR CELL BIOLOGY

AdaBoost with SVM-based component classifiers

(2007) Xuchun Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE