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5. New cross-talks between pathways involved in grapevine infection with ʼCandidatus Phytoplasma solaniʼ revealed by temporal network modellingBlaž Škrlj, Maruša Pompe Novak, Günter Brader, Barbara Anžič, Živa Ramšak, Kristina Gruden, Jan Kralj, Aleš Kladnik, Nada Lavrač, Thomas Roitsch, Marina Dermastia, 2021, izvirni znanstveni članek Ključne besede: community detection, enrichment analysis, network analysis, phytoplasma, bois noir
Celotno besedilo (datoteka, 2,84 MB) Gradivo ima več datotek! Več... |
6. Prioritisation of compounds for 3CL$^{pro}$ inhibitor development on SARS-CoV-2 variantsMarko Jukič, Blaž Škrlj, Gašper Tomšič, Sebastian Pleško, Črtomir Podlipnik, Urban Bren, 2021, izvirni znanstveni članek Ključne besede: COVID-19, SARS-CoV-2, free-energy calculations, in silico drug design, virtual screening, inhibitors, 3C-like protease, M$^{pro}$, 3CL$^{pro}$, high-throughput, chemical library design, machine learning, compound prioritisation
Celotno besedilo (datoteka, 6,56 MB) Gradivo ima več datotek! Več... |
7. To BAN or not to BANKristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik Šikonja, 2022, izvirni znanstveni članek Ključne besede: natural language processing, machine learning, transformer neural networks, Bayesian neural networks, BERT models, prediction uncertainty, reliability estimation, Monte Carlo dropout, Bayesian BERT, sentic computing, model calibration
Celotno besedilo (datoteka, 3,06 MB) Gradivo ima več datotek! Več... |
8. Differential response of grapevine to infection with ʼCandidatus Phytoplasma solaniʼ in early and late growing season through complex regulation of mRNA and small RNA transcriptomesMarina Dermastia, Blaž Škrlj, Rebeka Strah, Barbara Anžič, Špela Tomaž, Maja Križnik, Christina Schönhuber, Monika Riedle-Bauer, Živa Ramšak, Marko Petek, Aleš Kladnik, Nada Lavrač, Kristina Gruden, Thomas Roitsch, Günter Brader, Maruša Pompe Novak, 2021, izvirni znanstveni članek Ključne besede: ‘Candidatus Phytoplasma solani’, grapevine, bois noir, RNA-Seq, sRNA-Seq, miRNA, phasiRNA, hormones, interaction network
Celotno besedilo (datoteka, 26,85 MB) Gradivo ima več datotek! Več... |
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10. Dense attention network identifies EEG abnormalities during working memory performance of patients with schizophreniaRuben Perellón Alfonso, Aleš Oblak, Matija Kuclar, Blaž Škrlj, Borut Škodlar, Peter Pregelj, Grega Repovš, Jurij Bon, 2023, izvirni znanstveni članek Ključne besede: schizophrenia, working memory, contralateral delay negativity, electroencephalography EEG, dense attention network DAN
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