Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2014 | Joint modeling of ChIP-seq data via a Markov random field model | Bao, Y; Vinciotti, V; Wit, E; Hoen, P |
| 2013 | Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data | Bao, Y; Vinciotti, V; Wit, E; 't Hoen, PAC |
| 6-Oct-2017 | Predicting gene expression from genome wide protein binding profiles | Ferdous, MM; Bao, Y; Vinciotti, V; Liu, X; Wilson, P |
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