Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33753
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dc.contributor.authorVynck, Matthijs-
dc.contributor.authorTHAS, Olivier-
dc.date.accessioned2021-03-29T07:05:37Z-
dc.date.available2021-03-29T07:05:37Z-
dc.date.issued2018-
dc.date.submitted2021-03-29T07:03:20Z-
dc.identifier.citation29th International Biometric conference, Barcelona, Spain, 2018/07/08-2018/07/13-
dc.identifier.urihttp://hdl.handle.net/1942/33753-
dc.language.isoen-
dc.titleReducing bias in digital PCR experiments by appropriate modelling of volume variability-
dc.typeConference Material-
local.bibliographicCitation.conferencedate2018 July 8-13-
local.bibliographicCitation.conferencename29th International Biometric conference-
local.bibliographicCitation.conferenceplaceBarcelona, Spain-
local.bibliographicCitation.jcatC2-
local.type.refereedNon-Refereed-
local.type.specifiedConference Poster-
local.bibliographicCitation.btitleXXIXth International biometric conference-
item.accessRightsClosed Access-
item.fulltextNo Fulltext-
item.fullcitationVynck, Matthijs & THAS, Olivier (2018) Reducing bias in digital PCR experiments by appropriate modelling of volume variability. In: 29th International Biometric conference, Barcelona, Spain, 2018/07/08-2018/07/13.-
item.contributorVynck, Matthijs-
item.contributorTHAS, Olivier-
Appears in Collections:Research publications
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