Štajdohar, Miha
18  results:
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1

Transcriptome analysis reveals involvement of thiopurine S-..:

Šmid, Alenka ; Štajdohar, Miha ; Milek, Miha...
European Journal of Pharmaceutical Sciences.  192 (2024)  - p. 106616 , 2024
 
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Polygenic analysis and targeted improvement of the complex ..:

Meijnen, Jean-Paul ; Randazzo, Paola ; Foulquié-Moreno, María R...
Meijnen , J-P , Randazzo , P , Foulquié-Moreno , M R , van den Brink , J , Vandecruys , P , Stojiljkovic , M , Dumortier , F , Zalar , P , Boekhout , T , Gunde-Cimerman , N , Kokošar , J , Štajdohar , M , Curk , T , Petrovič , U & Thevelein , J M 2016 , ' Polygenic analysis and targeted improvement of the complex trait of high acetic acid tolerance in the yeast Saccharomyces cerevisiae ' , Biotechnology for Biofuels , vol. 9 , pp. 5 . https://doi.org/10.1186/s13068-015-0421-x.  , 2016
 
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Visualization and analysis of the space of prediction model:

Štajdohar, Miha
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=25817.  , 2014
 
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FragViz: visualization of fragmented networks:

Zupan Blaž ; Mramor Minca ; Štajdohar Miha.
http://www.biomedcentral.com/1471-2105/11/475.  , 2010
 
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Xerna™ TME Panel is a machine learning-based transcriptomic..:

Mark Uhlik ; Daniel Pointing ; Seema Iyer...
https://www.frontiersin.org/articles/10.3389/fonc.2023.1158345/full.  , 2023
 
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