Autor:
Rennie, C.
Hulme, H.
Fisher, P.
Halp, L.
Agaba, Morris
Noyes, H.A.
Kemp, Stephen J.
Brass, A.
High-through put technologies inevitably produce vast quantities of data. This presents challenges in terms of developing effective analysis methods, particularly where the analysis involves combining data derived from different experimental technologies. In this investigation, a systematic appro...
Enlace original:
https://cgspace.cgiar.org/handle/10568/2147
Rennie, C.
,
Hulme, H.
,
Fisher, P.
,
Halp, L.
,
Agaba, Morris
,
Noyes, H.A.
,
Kemp, Stephen J.
,
Brass, A.
,
[A systematic, data-driven approach to the combined analysis of microarray and QTL data]
,
A systematic, data-driven approach to the combined analysis of microarray and QTL data
