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» Analysis of Proteomic Pattern Data for Cancer Detection
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BMCBI
2010
147views more  BMCBI 2010»
13 years 9 months ago
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Thomas J. Hardcastle, Krystyna A. Kelly
ICIP
2007
IEEE
14 years 23 days ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
BMCBI
2011
13 years 15 days ago
Binding Site Prediction for Protein-Protein Interactions and Novel Motif Discovery using Re-occurring Polypeptide Sequences
Background: While there are many methods for predicting protein-protein interaction, very few can determine the specific site of interaction on each protein. Characterization of t...
Adam Amos-Binks, Catalin Patulea, Sylvain Pitre, A...
BMCBI
2006
190views more  BMCBI 2006»
13 years 9 months ago
VANTED: A system for advanced data analysis and visualization in the context of biological networks
Background: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisti...
Björn H. Junker, Christian Klukas, Falk Schre...