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» On the correlation of binary sequences
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SADM
2010
141views more  SADM 2010»
14 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
CIKM
2005
Springer
15 years 3 months ago
Semantic similarity over the gene ontology: family correlation and selecting disjunctive ancestors
Many bioinformatics applications would benefit from comparing proteins based on their biological role rather than their sequence. In most biological databases, proteins are alrea...
Francisco M. Couto, Mário J. Silva, Pedro C...
RECOMB
1999
Springer
15 years 2 months ago
Classifying proteins by family using the product of correlated p-values
An important goal in bioinformatics is determining the homology and function of proteins from their sequences. Pairwise sequence similarity algorithms are often employed for this ...
Timothy L. Bailey, William Noble Grundy
BMCBI
2006
131views more  BMCBI 2006»
14 years 10 months ago
Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations
Background: Microarrays measure the binding of nucleotide sequences to a set of sequence specific probes. This information is combined with annotation specifying the relationship ...
Michal J. Okoniewski, Crispin J. Miller
DMTCS
2007
49views Mathematics» more  DMTCS 2007»
14 years 10 months ago
Waiting Time Distributions for Pattern Occurrence in a Constrained Sequence
A binary sequence of zeros and ones is called a (d, k)-sequence if it does not contain runs of zeros of length either less than d or greater than k, where d and k are arbitrary, b...
Valery T. Stefanov, Wojciech Szpankowski