Title :
Expectation maximization in random projected spaces to find motifs in genomic sequences
Author :
Maiti, Ananda ; Mukherjee, Arjun
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
Abstract :
Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.
Keywords :
expectation-maximisation algorithm; genomics; random sequences; computation time reduction; expectation maximization; genomic sequences; iterations; motif finding applications; random projected spaces; Biological system modeling; Complexity theory; Computational modeling; Data models; Measurement uncertainty; Parametric statistics; Position measurement; Expectation Maximization; Motif finding; Random Projection;
Conference_Titel :
Electronics, Communication and Instrumentation (ICECI), 2014 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4799-3982-4
DOI :
10.1109/ICECI.2014.6767364
