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pro vyhledávání: '"Don Poron"'
Autor:
Don Poron, Anne Krug, Sebastian Dümcke, Henrik Failmezger, Timm Schroeder, Max Endele, Achim Tresch, Ezgi Dursun
Publikováno v:
Bioinformatics (Oxford, England). 35(13)
Motivation Recent imaging technologies allow for high-throughput tracking of cells as they migrate, divide, express fluorescent markers and change their morphology. The interpretation of these data requires unbiased, efficient statistical methods tha
Autor:
Timm Schroeder, Don Poron, Theresa Niederberger, Ingo Roeder, Nico Scherf, Henrik Failmezger, Diana Uskat, Achim Tresch, Ingmar Glauche
Publikováno v:
Bioinformatics, 31 (11)
Bioinformatics (Oxford, England)
Bioinformatics (Oxford, England)
Bioinformatics, 31 (11)
ISSN:1367-4803
ISSN:1460-2059
ISSN:1367-4803
ISSN:1460-2059
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::903d266d7f6650edc8d83cf075140afc
http://doc.rero.ch/record/301414/files/btv040.pdf
http://doc.rero.ch/record/301414/files/btv040.pdf
Publikováno v:
Nucleic Acids Research
Nucleic Acids Research (London)
Nucleic Acids Research (London)
Hidden Markov models (HMMs) have been extensively used to dissect the genome into functionally distinct regions using data such as RNA expression or DNA binding measurements. It is a challenge to disentangle processes occurring on complementary stran