Zobrazeno 1 - 6
of 6
pro vyhledávání: '"window t-test"'
Autor:
Berger Fabrice, Hertogh Benoît, Pierre Michaël, Bareke Eric, Gaigneaux Anthoula, Depiereux Eric
Publikováno v:
Open Life Sciences, Vol 4, Iss 4, Pp 603-618 (2009)
Externí odkaz:
https://doaj.org/article/b6aa81d42578496d934252488b9f53ce
Publikováno v:
Open Life Sciences, Vol 3, Iss 3, Pp 327-344 (2008)
Externí odkaz:
https://doaj.org/article/9b86a61179bc44cbb67f1a3d3083716b
Autor:
Anthoula Gaigneaux, Michael Pierre, Eric Bareke, Fabrice Berger, Benoit De Hertogh, Eric Depiereux
Publikováno v:
Open Life Sciences, Vol 4, Iss 4, Pp 603-618 (2009)
Microarrays are tools to study the expression profile of an entire genome. Technology, statistical tools and biological knowledge in general have evolved over the past ten years and it is now possible to improve analysis of previous datasets. We have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c74107cc72eafb5243a36bb779e9b954
https://doaj.org/article/b6aa81d42578496d934252488b9f53ce
https://doaj.org/article/b6aa81d42578496d934252488b9f53ce
Publikováno v:
Open Life Sciences, Vol 3, Iss 3, Pp 327-344 (2008)
This work focuses on differential expression analysis of microarray datasets. One way to improve such statistical analyses is to integrate biological information in the design of these analyses. In this paper, we will use the relationship between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b86e9b1f9072469f559dafe0e7b1905a
https://doi.org/10.2478/s11535-008-0030-9
https://doi.org/10.2478/s11535-008-0030-9
Microarrays are tools to study the expression profile of an entire genome. Technology, statistical tools and biological knowledge in general have evolved over the past ten years and it is now possible to improve analysis of previous datasets. We have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___01166::881bbc01503deb76657e285d1c0cbb58
https://researchportal.unamur.be/en/publications/83aad29e-636b-42ae-b7d9-ab0c1e27e235
https://researchportal.unamur.be/en/publications/83aad29e-636b-42ae-b7d9-ab0c1e27e235
This work focuses on differential expression analysis of microarray datasets. One way to improve such statistical analyses is to integrate biological information in the design of these analyses. In this paper, we will use the relationship between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___01166::5ac79e05bd32e97d64daebbcf1d463ca
https://researchportal.unamur.be/en/publications/fa455dbb-20f3-4886-ba06-61ee484d2e6a
https://researchportal.unamur.be/en/publications/fa455dbb-20f3-4886-ba06-61ee484d2e6a