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» Combining microarrays and genetic analysis
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BMCBI
2010
155views more  BMCBI 2010»
13 years 10 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
BMCBI
2007
156views more  BMCBI 2007»
13 years 10 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
BMCBI
2007
173views more  BMCBI 2007»
13 years 9 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
VR
2007
IEEE
122views Virtual Reality» more  VR 2007»
14 years 4 months ago
Registered, Sensor-Integrated Virtual Reality for Surgical Applications
Image guidance is a technique that often uses virtual reality to provide accurate localization and real-time surgical navigation. Combining image guidance with a biosensor based o...
Brady W. King, Luke A. Reisner, Michael D. Klein, ...
ICDAR
2003
IEEE
14 years 3 months ago
Writer Identification from Gray Level Distribution
When identifying a writer from a handwritten text, most often, either some characteristic patterns or some shape parameters are extracted. They are assumed to be specific of the w...
M. Wirotius, Audrey Seropian, Nicole Vincent