Combining a wavelet change point and the Bayes factor for analysing chromosomal interaction data.
about
Analysis methods for studying the 3D architecture of the genomeFisHiCal: an R package for iterative FISH-based calibration of Hi-C data.HiCdat: a fast and easy-to-use Hi-C data analysis tool.Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration.A computational strategy to adjust for copy number in tumor Hi-C data.Genome-wide mapping and analysis of chromosome architecture.GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C dataHow computer science can help in understanding the 3D genome architecture.
P2860
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P2860
Combining a wavelet change point and the Bayes factor for analysing chromosomal interaction data.
description
2014 nî lūn-bûn
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2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
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2014 թվականի ապրիլին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
Combining a wavelet change poi ...... chromosomal interaction data.
@ast
Combining a wavelet change poi ...... chromosomal interaction data.
@en
type
label
Combining a wavelet change poi ...... chromosomal interaction data.
@ast
Combining a wavelet change poi ...... chromosomal interaction data.
@en
prefLabel
Combining a wavelet change poi ...... chromosomal interaction data.
@ast
Combining a wavelet change poi ...... chromosomal interaction data.
@en
P2860
P356
P1433
P1476
Combining a wavelet change poi ...... chromosomal interaction data.
@en
P2093
Pietro Lio'
Yoli Shavit
P2860
P304
P356
10.1039/C4MB00142G
P577
2014-04-07T00:00:00Z