Prediction of MHC class II binding peptides based on an iterative learning model

doi:10.1186/1745-7580-1-6

Immunome Research

Volume 1

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Prediction of MHC class II binding peptides based on an iterative learning model

Naveen Murugan and Yang Dai

Department of Bioengineering (MC063), University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607, USA

author email corresponding author email

Immunome Research 2005, 1:6doi:10.1186/1745-7580-1-6


Published:	13 December 2005

Additional files

Additional File 1:

This file includes Table S1 – The average of Aroc values and standard deviation for the 1000 random sampling datasets on the original benchmark datasets.

Format: DOC Size: 36KB Download file

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Additional File 2:

This file includes Table S2 – The average of Aroc value and standard deviations for the 1000 random sampling datasets on the homology reduced benchmark datasets.

Format: DOC Size: 36KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional File 3:

This file includes Table S3 – P values for the statistical tests.

Format: DOC Size: 37KB Download file

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Additional File 4:

This file includes Table S4 – The Aroc values for the original benchmark datasets.

Format: DOC Size: 37KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional File 5:

This file includes Table S5 – The Aroc values for the reduced benchmark datasets.

Format: DOC Size: 46KB Download file

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Additional File 6:

This file includes Table S6 – The Aroc values for the original benchmark datasets (Cysteine substituted).

Format: DOC Size: 45KB Download file

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Additional File 7:

This file includes Table S7 – The Aroc values for the reduced benchmark datasets (Cysteine substituted).

Format: DOC Size: 38KB Download file

This file can be viewed with: Microsoft Word Viewer