Li J - Search Results

1

Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling.

Yeoh EJ, Ross ME, Shurtleff SA, Williams WK, Patel D, Mahfouz R, Behm FG, Raimondi SC, Relling MV, Patel A, Cheng C, Campana D, Wilkins D, Zhou X, Li J, Liu H, Pui CH, Evans WE, Naeve C, Wong L, Downing JR. Yeoh EJ, et al. Among authors: li j. Cancer Cell. 2002 Mar;1(2):133-43. doi: 10.1016/s1535-6108(02)00032-6. Cancer Cell. 2002. PMID: 12086872 Free article.

2

Simple rules underlying gene expression profiles of more than six subtypes of acute lymphoblastic leukemia (ALL) patients.

Li J, Liu H, Downing JR, Yeoh AE, Wong L. Li J, et al. Bioinformatics. 2003 Jan;19(1):71-8. doi: 10.1093/bioinformatics/19.1.71. Bioinformatics. 2003. PMID: 12499295

3

A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.

Liu H, Li J, Wong L. Liu H, et al. Among authors: li j. Genome Inform. 2002;13:51-60. Genome Inform. 2002. PMID: 14571374

4

Use of extreme patient samples for outcome prediction from gene expression data.

Liu H, Li J, Wong L. Liu H, et al. Among authors: li j. Bioinformatics. 2005 Aug 15;21(16):3377-84. doi: 10.1093/bioinformatics/bti544. Epub 2005 Jun 16. Bioinformatics. 2005. PMID: 15961442

5

Selection of patient samples and genes for outcome prediction.

Liu H, Li J, Wong L. Liu H, et al. Among authors: li j. Proc IEEE Comput Syst Bioinform Conf. 2004:382-92. doi: 10.1109/csb.2004.1332451. Proc IEEE Comput Syst Bioinform Conf. 2004. PMID: 16448031

6

Emerging patterns and gene expression data.

Li J, Wong L. Li J, et al. Genome Inform. 2001;12:3-13. Genome Inform. 2001. PMID: 11791219

7

Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns.

Li J, Wong L. Li J, et al. Bioinformatics. 2002 May;18(5):725-34. doi: 10.1093/bioinformatics/18.5.725. Bioinformatics. 2002. PMID: 12050069

8

Discovery of significant rules for classifying cancer diagnosis data.

Li J, Liu H, Ng SK, Wong L. Li J, et al. Bioinformatics. 2003 Oct;19 Suppl 2:ii93-102. doi: 10.1093/bioinformatics/btg1066. Bioinformatics. 2003. PMID: 14534178

9

Z-score biological significance of binding hot spots of protein interfaces by using crystal packing as the reference state.

Liu Q, Wong L, Li J. Liu Q, et al. Among authors: li j. Biochim Biophys Acta. 2012 Dec;1824(12):1457-67. doi: 10.1016/j.bbapap.2012.05.014. Epub 2012 Jun 19. Biochim Biophys Acta. 2012. PMID: 22728649

10

DBAC: a simple prediction method for protein binding hot spots based on burial levels and deeply buried atomic contacts.

Li Z, Wong L, Li J. Li Z, et al. Among authors: li j. BMC Syst Biol. 2011 Jun 20;5 Suppl 1(Suppl 1):S5. doi: 10.1186/1752-0509-5-S1-S5. BMC Syst Biol. 2011. PMID: 21689480 Free PMC article.

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