Limsoon Wong

Molecular Biology · 2002–2017

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 45 citations into it; #12,195 of 17,773 by trust here, #11,818 by citations
• Artificial Intelligence — 13 citations into it
• Computational Theory and Mathematics — 10 citations into it; #3,871 of 12,182 by trust here, #7,142 by citations
• Statistical Learning Theory — 10 citations into it
• Information Systems — 8 citations into it; #2,817 of 8,771 by trust here, #6,770 by citations
• Signal Processing — 7 citations into it; #2,864 of 7,572 by trust here, #5,829 by citations
• Statistics and Probability — 5 citations into it

Whom Limsoon Wong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mohammed J. Zaki
2. Roberto J. Bayardo Jr.
3. C. Burges
4. Vladimir Naumovich Vapnik
5. Vladimir Naumovich Vapni
6. Mark A. Hall
7. J. Ross Quinlan
8. Teuvo Kohonen
9. R. Fisher
10. David E. Rumelhart

Who trusts Limsoon Wong overall

1. Mark Rudelson
2. Hussain Ahmad Madni
3. Gonzalo Mariscal
4. Tamás Nepusz
5. Petros Drineas
6. Xiaoli Li
7. Juanying Xie
8. Roman Vershynin
9. Yvan Saeys

Papers from Limsoon Wong's perspective

Ordered by how strongly the researchers Limsoon Wong trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Some methods for classification and analysis of multivariate observations
3. Pattern classification and scene analysis
4. A Tutorial on Support Vector Machines for Pattern Recognition
5. Learning representations by back-propagating errors
6. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
8. Efficiently mining long patterns from databases
9. Fast Algorithms for Mining Association Rules
10. The Nature of Statistical Learning

Their papers

• DATA MINING TECHNIQUES (2003) — 841 citations
• Accomplishments and challenges in literature data mining for biology (2002) — 349 citations
• Complex discovery from weighted PPI networks (2009) — 451 citations
• Why Batch Effects Matter in Omics Data, and How to Avoid Them. (2017) — 365 citations
• A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. (2002) — 498 citations
• Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. (2002) — 1,999 citations