OBJECTIVES: This paper proposes a greedy algorithm for learning a mixture of motifs model through like-lihood maximization, in order to discover common substrings, known as motifs, from a given collection of related biosequences. METHODS: The approach sequentially adds a new motif component to a mixture model by performing a combined scheme of global and local search for appropriately initializing the component parameters...
Keywords: Motif discovery, mixture of motifs, EM algorithm, protein fingerprints, MEME algorithm
01/2004 | Methods of Information in Medicine, SchattauerOBJECTIVES: To estimate the parameters, the impulse response (IR) functions of some linear time-invariant systems generating intensity processes, in Shot-Noise-Driven Doubly Stochastic Poisson Process (SND-DSPP) in which multivariate presynaptic spike trains and postsynaptic spike trains can be assumed to be modeled by the SND-DSPPs...
Keywords: Random point process, EM algorithm, computer simulation, fluctuation, neural spike trains
01/2007 | Methods of Information in Medicine, Schattauer