Name
Papers
Collaborators
WEI CHEN
22
74
Citations 
PageRank 
Referers 
57
8.63
130
Referees 
References 
296
110
Search Limit
100296
Title
Citations
PageRank
Year
Design Powerful Predictor For Mrna Subcellular Location Prediction In Homo Sapiens20.362021
Iterative feature representation algorithm to improve the predictive performance of N-7-methylguanosine sites00.342021
KNIndex: a comprehensive database of physicochemical properties for k-tuple nucleotides10.352021
A Comparison And Assessment Of Computational Method For Identifying Recombination Hotspots In Saccharomyces Cerevisiae10.352020
iMRM:a platform for simultaneously identifying multiple kinds of RNA modifications.50.422020
VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences.00.342020
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species.30.392020
Evaluation of different computational methods on 5-methylcytosine sites identification.00.342020
Predicting protein structural classes for low-similarity sequences by evaluating different features.20.422019
iPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein.00.342019
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique.30.422019
Identifying sigma70 promoters with novel pseudo nucleotide composition.110.532019
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators.30.422019
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome30.452019
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome30.452019
iRNAD: a computational tool for identifying D modification sites in RNA sequence.10.352019
iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC.20.372018
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties.140.602017
Pro54DB: a database for experimentally verified sigma-54 promoters.00.342017
Predicting bacteriophage proteins located in host cell with feature selection technique.20.382016
Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences.00.342014
A seed-based approach to identify risk disease sub-networks in human lung cancer10.362012