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) |
|---|---|---|
| 2015 | A comparative study of RNA-seq analysis strategies | Jänes, J; Hu, F; Lewin, A; Turro, E |
| 2016 | MT-HESS: An efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues | Lewin, A; Saadi, H; Peters, JE; Moreno-Moral, A; Lee, JC; Smith, KGC; Petretto, E; Bottolo, L; Richardson, S |
| 2013 | Integrating gene and protein expression data with genome-scale metabolic networks to infer functional pathways | Pey, J; Valgepea, K; Rubio, A; Beasley, JE; Planes, FJ |
| 2016 | NEAT: An efficient network enrichment analysis test | Signorelli, M; Vinciotti, V; Wit, EC |
| 6-Oct-2017 | Predicting gene expression from genome wide protein binding profiles | Ferdous, MM; Bao, Y; Vinciotti, V; Liu, X; Wilson, P |