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» Physical limits of inference
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BMCBI
2010
151views more  BMCBI 2010»
14 years 9 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2007
160views more  BMCBI 2007»
14 years 9 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
BMCBI
2010
198views more  BMCBI 2010»
14 years 9 months ago
ClustalXeed: a GUI-based grid computation version for high performance and terabyte size multiple sequence alignment
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...
Taeho Kim, Hyun Joo
COMCOM
2008
100views more  COMCOM 2008»
14 years 9 months ago
The impact of code allocation on the multiple access interference in WCDMA systems
Code allocation has a significant impact on the performance of Code Division Multiple Access (CDMA) systems. For the uplink direction, in 3G Wideband CDMA (WCDMA) cellular systems...
Thamer Al-Meshhadany, Wessam Ajib
DKE
2008
79views more  DKE 2008»
14 years 9 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis