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BMCBI
2007
116views more  BMCBI 2007»
13 years 10 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...
BMCBI
2006
111views more  BMCBI 2006»
13 years 10 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
IACR
2011
221views more  IACR 2011»
12 years 10 months ago
A Novel RFID Distance Bounding Protocol Based on Physically Unclonable Functions
Abstract. Radio Frequency Identification (RFID) systems are vulnerable to relay attacks (i.e., mafia, terrorist and distance frauds) when they are used for authentication purpose...
Süleyman Kardas, Mehmet Sabir Kiraz, Muhammed...
BMCBI
2008
163views more  BMCBI 2008»
13 years 10 months ago
Nuclear staining and relative distance for quantifying epidermal differentiation in biomarker expression profiling
Background: The epidermal physiology results from a complex regulated homeostasis of keratinocyte proliferation, differentiation and death and is tightly regulated by a specific p...
Thora Pommerencke, Thorsten Steinberg, Hartmut Dic...
BMCBI
2006
173views more  BMCBI 2006»
13 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen