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» New Algorithms for Statistical Analysis of Interval Data
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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 10 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
BMCBI
2004
169views more  BMCBI 2004»
15 years 3 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
RECOMB
2001
Springer
15 years 8 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Estimating Packet Arrival Times in Bursty Video Applications
In retransmission-based error-control methods, the most fundamental yet the paramount problem is to determine how long the sender (or the receiver) should wait before deciding tha...
Ali C. Begen, Yucel Altunbasak
BMCBI
2006
201views more  BMCBI 2006»
15 years 4 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao