المؤلفون: Perfumo, Amedea, Çabuk, Uğur, Schulte, Luise, Courtin, Jérémy, Harms, Lars, Stoof‐Leichsenring, Kathleen R., Herzschuh, Ulrike

مصطلحات موضوعية: environmental microbiome, functional genes, paleoecosystem, paleometagenomics, sedimentary ancient DNA (sedaDNA), ddc:570

وصف الملف: 13 Seiten; application/pdf

Relation: https://refubium.fu-berlin.de/handle/fub188/43304; http://dx.doi.org/10.17169/refubium-43020

الاتاحة: https://refubium.fu-berlin.de/handle/fub188/43304
https://doi.org/10.17169/refubium-43020
https://doi.org/10.1002/edn3.446

المؤلفون: Garbulowski, Mateusz, Smolinska, Karolina, Çabuk, Uğur, Yones, Sara A., Celli, Ludovica, Yaz, Esma Nur, Barrenäs, Fredrik, Diamanti, Klev, Wadelius, Claes, Komorowski, Jan

المصدر: Cancers. 14(4)

مصطلحات موضوعية: glioma, machine learning, batch effect, TCGA, co-enrichment, rough sets

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-203564
https://doi.org/10.3390/cancers14041014

المؤلفون: Çabuk, Uğur, Ünlü, Ercan Selçuk

المساهمون: BAİBÜ, Lisansüstü Eğitim Enstitüsü, Fen Bilimleri, Biyoloji Ana Bilim Dalı, orcid:0000-0002-4443-3065, orcid:0000-0003-0097-1125, Çabuk, Uğur, Ünlü, Ercan Selçuk

مصطلحات موضوعية: De Novo Assembly, Prokaryotes, Bacteria, Single-Cell, Sequence, Tool

وصف الملف: application/pdf

Relation: Makale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrenci; Folia Microbiologica; Çabuk, U., & Ünlü, E. S. (2022). A combined de novo assembly approach increases the quality of prokaryotic draft genomes. Folia Microbiologica, 67(5), 801-810.; PUBMED ID: 35668290; WOS:000806656300001; http://dx.doi.org/10.1007/s12223-022-00980-7; https://hdl.handle.net/20.500.12491/11428; 67; 801; 810

الاتاحة: https://hdl.handle.net/20.500.12491/11428
https://doi.org/10.1007/s12223-022-00980-7

المؤلفون: Bulut, Burak, Gürel, Songül, Ünüvar, Ömer Can, Gürel, Ekrem, Şahin, Yunus, Çabuk, Uğur, Ünlü, Ercan Selçuk

المصدر: Tropical Plant Biology ; volume 16, issue 3, page 199-207 ; ISSN 1935-9756 1935-9764

الاتاحة: http://dx.doi.org/10.1007/s12042-023-09344-y
https://link.springer.com/content/pdf/10.1007/s12042-023-09344-y.pdf
https://link.springer.com/article/10.1007/s12042-023-09344-y/fulltext.html

المؤلفون: Garbulowski, Mateusz, Smolinska Garbulowska, Karolina, Çabuk, Uğur, Yones, Sara A., Celli, Ludovica, Yaz, Esmanur, Barrenäs, Fredrik, Diamanti, Klev, Wadelius, Claes, Komorowski, Jan

مصطلحات الفهرس: Bioinformatics (Computational Biology), Bioinformatik (beräkningsbiologi), Data set, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-455315

المؤلفون: Garbulowski, Mateusz, Smolinska, Karolina, Çabuk, Uğur, Yones, Sara A., Celli, Ludovica, Yaz, Esmanur, Fredrik, Barrenäs, Klev, Diamanti, Claes, Wadelius, Komorowski, Jan

مصطلحات الفهرس: glioma, TCGA, machine learning, ssGSEA, co-enrichment, Bioinformatics (Computational Biology), Bioinformatik (beräkningsbiologi), Manuscript (preprint), info:eu-repo/semantics/preprint, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-455177

المؤلفون: Garbulowski, Mateusz, Smolinska, Karolina, Çabuk, Uğur, Yones, Sara A., Celli, Ludovica, Yaz, Esmanur, Fredrik, Barrenäs, Klev, Diamanti, Claes, Wadelius, Komorowski, Jan

المصدر: SUPPLEMENTARY MATERIAL: Machine learning-based analysis of glioma grades reveals co-enrichment.

مصطلحات موضوعية: glioma, TCGA, machine learning, ssGSEA, co-enrichment

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-455177