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ICMLA
2007
13 years 9 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
CSB
2005
IEEE
136views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Computational Method for Temporal Pattern Discovery in Biomedical Genomic Databases
With the rapid growth of biomedical research databases, opportunities for scientific inquiry have expanded quickly and led to a demand for computational methods that can extract b...
Mohammed I. Rafiq, Martin J. O'Connor, Amar K. Das
BMCBI
2005
161views more  BMCBI 2005»
13 years 7 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
NCA
2007
IEEE
13 years 7 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
BMCBI
2010
107views more  BMCBI 2010»
13 years 7 months ago
TagCleaner: Identification and removal of tag sequences from genomic and metagenomic datasets
Background: Sequencing metagenomes that were pre-amplified with primer-based methods requires the removal of the additional tag sequences from the datasets. The sequenced reads ca...
Robert Schmieder, Yan Wei Lim, Forest Rohwer, Robe...