In this paper, we present LOGOS, an integrated LOcal and GlObal motif Sequence model for biopolymer sequences, which provides a principled framework for ...
LOGOS consists of two interacting submodels: HMDM, a local alignment model capturing biological prior knowledge and positional dependency within the motif local ...
LOGOS consists of two interacting submodels: HMDM, a local alignment model capturing biological prior knowledge and positional dependence within the motif local ...
In this paper, we present LOGOS, an integrated LOcal and GlObal motif Sequence model for biopolymer sequences, which provides a principled framework for ...
LOGOS consists of two interacting submodels: HMDM, a local alignment model capturing biological prior knowledge and positional dependence within the motif local ...
We present a de novo motif detection algorithm using an HMM as the global distribution model and an HMDM as the local alignment model. The resulting composite ...
Aug 13, 2003 · LOGOS: a modular Bayesian model for de novo motif detection. Eric Xing. Wei Wu. Michael Jordan. Richard Karp. University of California, Berkeley.
LOGOS consists of two interacting submodels: HMDM, a local alignment model capturing biological prior knowledge and positional dependence within the motif local ...
Proceedings of the 2003 IEEE Bioinformatics Conference (CSB'03). 0-7695-2000-6/03 $17.00 © 2003 IEEE. Page 2. Proceedings of the 2003 IEEE Bioinformatics ...
In this paper, we present LOGOS, an integrated LOcal and GlObal motif Sequence model for biopolymer sequences, which provides a principled framework for ...