CaLecPred statistics

info info

Citations per year

info

Popular tool citations

chevron_left Function prediction chevron_right
info

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?

CaLecPred specifications

Information


Unique identifier OMICS_11261
Name CaLecPred
Interface Web user interface
Restrictions to use None
Input data Protein sequences
Input format FASTA
Computer skills Basic
Stability No
Maintained No

Maintainer


This tool is not available anymore.

Publication for CaLecPred

CaLecPred citation

library_books

Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology

2016
PMCID: 4961832
PMID: 27478823
DOI: 10.1155/2016/7604641

[…] triad and pseudo-amino acid composition are the most accurate combination of feature extraction algorithms and classifiers to predict cancerlectins., cancerlectindb, which is from a web server named calecpred [] and was provided by professors song and pan, is used in this study to obtain high-quality data regarding cancerlectins. all of the training and the test sets were selected […]


Want to access the full list of citations?
CaLecPred institution(s)
Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, China; School of Linguistics and Literature, University of Electronic Science and Technology of China, Chengdu, China; Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, China

CaLecPred reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review CaLecPred