Lin HH - Search Results

1

Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.

Tang ZQ, Lin HH, Zhang HL, Han LY, Chen X, Chen YZ. Tang ZQ, et al. Among authors: lin hh. Bioinform Biol Insights. 2009 Nov 24;1:19-47. doi: 10.4137/bbi.s315. Bioinform Biol Insights. 2009. PMID: 20066123 Free PMC article.

2

Prediction of the functional class of lipid binding proteins from sequence-derived properties irrespective of sequence similarity.

Lin HH, Han LY, Zhang HL, Zheng CJ, Xie B, Chen YZ. Lin HH, et al. J Lipid Res. 2006 Apr;47(4):824-31. doi: 10.1194/jlr.M500530-JLR200. Epub 2006 Jan 27. J Lipid Res. 2006. PMID: 16443826 Free article.

3

Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach.

Lin HH, Han LY, Zhang HL, Zheng CJ, Xie B, Cao ZW, Chen YZ. Lin HH, et al. BMC Bioinformatics. 2006 Dec 18;7 Suppl 5(Suppl 5):S13. doi: 10.1186/1471-2105-7-S5-S13. BMC Bioinformatics. 2006. PMID: 17254297 Free PMC article.

4

Homology-free prediction of functional class of proteins and peptides by support vector machines.

Zhu F, Han LY, Chen X, Lin HH, Ong S, Xie B, Zhang HL, Chen YZ. Zhu F, et al. Among authors: lin hh. Curr Protein Pept Sci. 2008 Feb;9(1):70-95. doi: 10.2174/138920308783565697. Curr Protein Pept Sci. 2008. PMID: 18336324 Review.

5

Computer prediction of drug resistance mutations in proteins.

Cao ZW, Han LY, Zheng CJ, Ji ZL, Chen X, Lin HH, Chen YZ. Cao ZW, et al. Among authors: lin hh. Drug Discov Today. 2005 Apr 1;10(7):521-9. doi: 10.1016/S1359-6446(05)03377-5. Drug Discov Today. 2005. PMID: 15809198 Review.

6

MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties.

Cui J, Han LY, Lin HH, Tang ZQ, Jiang L, Cao ZW, Chen YZ. Cui J, et al. Among authors: lin hh. Immunogenetics. 2006 Aug;58(8):607-13. doi: 10.1007/s00251-006-0117-2. Epub 2006 Jul 11. Immunogenetics. 2006. PMID: 16832638

7

Support vector machines approach for predicting druggable proteins: recent progress in its exploration and investigation of its usefulness.

Han LY, Zheng CJ, Xie B, Jia J, Ma XH, Zhu F, Lin HH, Chen X, Chen YZ. Han LY, et al. Among authors: lin hh. Drug Discov Today. 2007 Apr;12(7-8):304-13. doi: 10.1016/j.drudis.2007.02.015. Epub 2007 Mar 7. Drug Discov Today. 2007. PMID: 17395090 Review.

8

Efficacy of different protein descriptors in predicting protein functional families.

Ong SA, Lin HH, Chen YZ, Li ZR, Cao Z. Ong SA, et al. Among authors: lin hh. BMC Bioinformatics. 2007 Aug 17;8:300. doi: 10.1186/1471-2105-8-300. BMC Bioinformatics. 2007. PMID: 17705863 Free PMC article.

9

Derivation of stable microarray cancer-differentiating signatures using consensus scoring of multiple random sampling and gene-ranking consistency evaluation.

Tang ZQ, Han LY, Lin HH, Cui J, Jia J, Low BC, Li BW, Chen YZ. Tang ZQ, et al. Among authors: lin hh. Cancer Res. 2007 Oct 15;67(20):9996-10003. doi: 10.1158/0008-5472.CAN-07-1601. Cancer Res. 2007. PMID: 17942933 Free article.

10

Prediction of functional class of novel plant proteins by a statistical learning method.

Han LY, Zheng CJ, Lin HH, Cui J, Li H, Zhang HL, Tang ZQ, Chen YZ. Han LY, et al. Among authors: lin hh. New Phytol. 2005 Oct;168(1):109-21. doi: 10.1111/j.1469-8137.2005.01482.x. New Phytol. 2005. PMID: 16159326 Free article.

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