countfitteR: efficient selection of count distributions to assess DNA damage.
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| Title: | countfitteR: efficient selection of count distributions to assess DNA damage. |
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| Authors: | Chilimoniuk J; Department of Bioinformatics and Genomics, Faculty of Biotechnology, University of Wrocław, Wrocław, Poland.; Faculty of Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany., Gosiewska A; Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland., Słowik J; Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland., Weiss R; Faculty of Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany., Deckert PM; Faculty of Medicine and Psychology, Brandenburg Medical School Theodor Fontane, and Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Brandenburg, Germany., Rödiger S; Faculty of Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany.; Faculty of Health Sciences Brandenburg, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany., Burdukiewicz M; Faculty of Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, Senftenberg, Germany.; Medical University of Białystok, Białystok, Poland. |
| Source: | Annals of translational medicine [Ann Transl Med] 2021 Apr; Vol. 9 (7), pp. 528. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: AME Publishing Company Country of Publication: China NLM ID: 101617978 Publication Model: Print Cited Medium: Print ISSN: 2305-5839 (Print) Linking ISSN: 23055839 NLM ISO Abbreviation: Ann Transl Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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