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[HTML][HTML] Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC bioinformatics, 2006 - Springer
Background The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …
被引用次数：134 相关文章
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[PDF][PDF] Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC Bioinformatics, 2006 - Citeseer
Background: The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC Bioinformatics, 2006 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: sec>< jats: title> Background</jats: title>< jats: p>
The binding between peptide epitopes and major histocompatibility complex proteins …
[HTML] biomedcentral.com

[HTML][HTML] Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu… - BMC …, 2006 - bmcbioinformatics.biomedcentral …
The binding between peptide epitopes and major histocompatibility complex proteins
(MHCs) is an important event in the cellular immune response. Accurate prediction of the …

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower… - BMC …, 2006 - pubmed.ncbi.nlm.nih.gov
Background The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …
[PDF] scienceopen.com

[PDF][PDF] Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC Bioinformatics, 2006 - scienceopen.com
Background: The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

X Qiqi, M Xiangshan, L Wen, L Tongbin - 2006 - agris.fao.org
Background The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …
[HTML] nih.gov

[HTML][HTML] Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC Bioinformatics, 2006 - ncbi.nlm.nih.gov
Background The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC Bioinformatics, 2006 - research.aston.ac.uk
Background-The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower… - BMC Bioinformatics, 2006 - publications.aston.ac.uk
Background-The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …