Methodology article
Parameter estimation for robust HMM analysis of ChIP-chip data
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* Corresponding author: Peter Humburg peter.humburg@csiro.au
1 Department of Statistics, Macquarie University, North Ryde, NSW 2109, Australia
2 CSIRO Mathematical and Information Sciences, North Ryde, NSW 2113, Australia
BMC Bioinformatics 2008, 9:343 doi:10.1186/1471-2105-9-343
Published: 18 August 2008Additional files
Additional file 1:
False negative probe calls resulting from different models. For any given cut-off TileMap produces more false negatives than the Baum-Welch and Viterbi trained models.
Format: PNG Size: 76KB Download file
Additional file 2:
False positive probe calls resulting from different models. For any given cut-off TileMap produces fewer false positives than the Baum-Welch and Viterbi trained models.
Format: PNG Size: 444KB Download file
Additional file 3:
Origin of isolated enriched probes in dataset I. The isolated enriched probes identified in dataset I by the Baum-Welch model originate from enriched regions identified by the Baum-Welch model in the real data. Two out of three probes are located close to enriched regions identified by TileMap.
Format: PNG Size: 2.7MB Download file
