Len Trigg
Len Trigg
Director of Research & Development, Real Time Genomics
Verified email at realtimegenomics.com
Title
Cited by
Cited by
Year
Data mining and knowledge discovery handbook
O Maimon, L Rokach
springer 2 (2005), 2005
22592005
Data mining in bioinformatics using Weka
E Frank, M Hall, L Trigg, G Holmes, IH Witten
Bioinformatics 20 (15), 2479-2481, 2004
9042004
K*: An instance-based learner using an entropic distance measure
JG Cleary, LE Trigg
Machine Learning Proceedings 1995, 108-114, 1995
7871995
Weka: Practical machine learning tools and techniques with Java implementations
IH Witten, E Frank, LE Trigg, MA Hall, G Holmes, SJ Cunningham
6011999
Weka-a machine learning workbench for data mining
E Frank, M Hall, G Holmes, R Kirkby, B Pfahringer, IH Witten, L Trigg
Data mining and knowledge discovery handbook, 1269-1277, 2009
4822009
Naive Bayes for regression
E Frank, L Trigg, G Holmes, IH Witten
Machine Learning 41 (1), 5-25, 2000
1862000
Jumble java byte code to measure the effectiveness of unit tests
SA Irvine, T Pavlinic, L Trigg, JG Cleary, S Inglis, M Utting
Testing: Academic and Industrial Conference Practice and Research Techniques …, 2007
812007
Joint variant and de novo mutation identification on pedigrees from high-throughput sequencing data
JG Cleary, R Braithwaite, K Gaastra, BS Hilbush, S Inglis, SA Irvine, ...
Journal of Computational Biology 21 (6), 405-419, 2014
572014
An open resource for accurately benchmarking small variant and reference calls
JM Zook, J McDaniel, ND Olson, J Wagner, H Parikh, H Heaton, SA Irvine, ...
Nature biotechnology 37 (5), 561-566, 2019
382019
Best practices for benchmarking germline small-variant calls in human genomes
P Krusche, L Trigg, PC Boutros, CE Mason, M Francisco, BL Moore, ...
Nature biotechnology 37 (5), 555-560, 2019
372019
Comparing variant call files for performance benchmarking of next-generation sequencing variant calling pipelines
JG Cleary, R Braithwaite, K Gaastra, BS Hilbush, S Inglis, SA Irvine, ...
BioRxiv, 023754, 2015
362015
Reproducible integration of multiple sequencing datasets to form high-confidence SNP, indel, and reference calls for five human genome reference materials
J Zook, J McDaniel, H Parikh, H Heaton, SA Irvine, L Trigg, R Truty, ...
BioRxiv, 281006, 2018
302018
Weka 3: data mining software in Java
E Frank, M Hall, L Trigg
The University of Waikato, 2006
272006
Data Mining and Knowledge Discovery Handbook
E Frank, M Hall, G Holmes, R Kirkby, B Pfahringer, I Witten, L Trigg, ...
US: Springer, 1305-1314, 2005
252005
Weka: Practical machine learning tools and techniques with java implementations
IW Eibe, IH Witten, E Frank, L Trigg, M Hall, G Holmes, SJ Cunningham
Proc ICONIP/ANZIIS/ANNES99 Future Directions for Intelligent Systems and …, 1999
171999
Attribute-relation file format (ARFF)
G Paynter, L Trigg, E Frank, R Kirkby
Online] http://www. cs. waikato. ac. nz/ml/weka/arff. html, 2008
152008
Weka 3-Data Mining with Open Source Machine Learning Software in Java
E Frank, M Hall, L Trigg
The University of Waikato, 2000
132000
Method and system for sequence correlation
SJ Inglis, LE Trigg, RH Littin, DW Ware, SA Irvine, JG Cleary, GC Gaylard, ...
US Patent App. 13/681,215, 2013
122013
Weka: data mining software in Java
IH Witten, E Frank, MA Hall
2009-06-08]. http://www. cs. waikato. ac. nz/-ml, 2007
122007
A diagnostic tool for tree based supervised classification learning algorithms
G Holmes, L Trigg
ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on …, 1999
121999
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Articles 1–20