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» Advances in Lifted Importance Sampling
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ACSC
2009
IEEE
14 years 1 days ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
BMCBI
2010
112views more  BMCBI 2010»
13 years 5 months ago
TabSQL: a MySQL tool to facilitate mapping user data to public databases
Background: With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public...
Xiaoqin Xia, Michael McClelland, Yipeng Wang
BMCBI
2010
94views more  BMCBI 2010»
13 years 5 months ago
A high-throughput pipeline for the design of real-time PCR signatures
Background: Pathogen diagnostic assays based on polymerase chain reaction (PCR) technology provide high sensitivity and specificity. However, the design of these diagnostic assays...
Ravi Vijaya Satya, Kamal Kumar, Nela Zavaljevski, ...
BMCBI
2008
107views more  BMCBI 2008»
13 years 5 months ago
Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (ML
Background: MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normaliz...
Juan R. González, Josep L. Carrasco, Llu&ia...
BMCBI
2005
103views more  BMCBI 2005»
13 years 5 months ago
Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
Leslie Grate