Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Miha Štajdohar"'
Autor:
Mark Uhlik, Daniel Pointing, Seema Iyer, Luka Ausec, Miha Štajdohar, Robert Cvitkovič, Matjaž Žganec, Kerry Culm, Valerie Chamberlain Santos, Bronislaw Pytowski, Mokenge Malafa, Hong Liu, Arthur M. Krieg, Jeeyun Lee, Rafael Rosengarten, Laura Benjamin
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionMost predictive biomarkers approved for clinical use measure single analytes such as genetic alteration or protein overexpression. We developed and validated a novel biomarker with the aim of achieving broad clinical utility. The Xerna™
Externí odkaz:
https://doaj.org/article/3cea1d0d51c242f6bda7d52c9e0ee0df
Autor:
Miha Štajdohar, Janez Demšar
Publikováno v:
Journal of Statistical Software, Vol 53, Iss 6 (2013)
Network analysis is one of the most widely used techniques in many areas of modern science. Most existing tools for that purpose are limited to drawing networks and computing their basic general characteristics. The user is not able to interactively
Externí odkaz:
https://doaj.org/article/124618b0c59d4d0083e5f4f090d68ba6
Autor:
Gad Shaulsky, Janez Kokosar, Rafael D. Rosengarten, Miha Štajdohar, Domen Blenkus, Blaz Zupan, Luka Jeran
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
Background Dictyostelium discoideum, a soil-dwelling social amoeba, is a model for the study of numerous biological processes. Research in the field has benefited mightily from the adoption of next-generation sequencing for genomics and transcriptomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d816516737447ba7a2260023794c4ae4
http://europepmc.org/articles/PMC5457571
http://europepmc.org/articles/PMC5457571
Autor:
Tomaž Curk, Janez Kokošar, Jean-Paul Meijnen, Maria R. Foulquié-Moreno, Paola Randazzo, Françoise Dumortier, Paul Vandecruys, Miha Štajdohar, Uroš Petrovič, Johan M. Thevelein, Marija Stojiljkovic, Teun Boekhout, Joost van den Brink, Nina Gunde-Cimerman, Polona Zalar
Publikováno v:
Biotechnology for Biofuels
Biotechnology for Biofuels, 9. BioMed Central
Biotechnology for Biofuels, 9. BioMed Central
BACKGROUND: Acetic acid is one of the major inhibitors in lignocellulose hydrolysates used for the production of second-generation bioethanol. Although several genes have been identified in laboratory yeast strains that are required for tolerance to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0c931a1395245c63cc8b861c8ab75f0
https://doi.org/10.1186/s13068-015-0421-x
https://doi.org/10.1186/s13068-015-0421-x
Autor:
Janez Demšar, Miha Štajdohar
Publikováno v:
Journal of Statistical Software, Vol 53, Iss 6 (2013)
Journal of Statistical Software; Vol 53 (2013); 1-24
Journal of Statistical Software; Vol 53 (2013); 1-24
Network analysis is one of the most widely used techniques in many areas of modern science. Most existing tools for that purpose are limited to drawing networks and computing their basic general characteristics. The user is not able to interactively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6803220a63abfaaad14cd385a1a0b28
http://www.jstatsoft.org/v53/i06/paper
http://www.jstatsoft.org/v53/i06/paper
Autor:
Miha Stajdohar, Rafael D. Rosengarten, Janez Kokosar, Luka Jeran, Domen Blenkus, Gad Shaulsky, Blaz Zupan
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Dictyostelium discoideum, a soil-dwelling social amoeba, is a model for the study of numerous biological processes. Research in the field has benefited mightily from the adoption of next-generation sequencing for genomics and tran
Externí odkaz:
https://doaj.org/article/0fa076673b464593ba1c7c0ebbb37a42
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 11, Iss 1, p 475 (2010)
BMC Bioinformatics, Vol 11, Iss 1, p 475 (2010)
Background Researchers in systems biology use network visualization to summarize the results of their analysis. Such networks often include unconnected components, which popular network alignment algorithms place arbitrarily with respect to the rest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c4d45890d3de47524d39fab603724b