53 search results - page 2 / 11 » Using hidden Markov models to analyze gene expression time c... |
ALMOB
2006
13 years 7 months ago
2006
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
BMCBI
2006
13 years 7 months ago
2006
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
RECOMB
2002
Springer
14 years 7 months ago
2002
Springer
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
BMCBI
2010
13 years 7 months ago
2010
Background: Epigenetics is an important layer of transcriptional control necessary for cell-type specific gene regulation. Recent studies have shown significant epigenetic pattern...
SP
2002
IEEE
13 years 7 months ago
2002
IEEE
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...