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iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.

Home Page: http://ifeature.erc.monash.edu/

Python 100.00%

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ifeature's Issues

Explanation

Hello,

Is there any explanation of the use case and importance of the various protein feature which can be calculated like EAAC, DDE, etc?

iFeature download

Hi,
Please, I have been finding it difficult to download and use the iFeature on my Python interface.
I really need your assistance.
Thanks

Tri-RNA

tri-RNA. data file is missing,
followings will be not working
TAC, TCC, TACC, pseTNC,........

ASA

I want to know how get .spXout file in examples/predictedProteinProperty

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