1. Generating global network structures by triad types
Marjan Cugmas, Anuška Ferligoj, Aleš Žiberna, 2018, izvirni znanstveni članek

Ključne besede: algorithms, network analysis, statistical distributions, census, network motifs, Monte Carlo method, solvation, social networks
Celotno besedilo (datoteka, 2,61 MB) Gradivo ima več datotek! Več...

3. Critical impact of different conserved endoplasmic retention mofits and dopamine receptor interacting proteins (DRIPs) on intracellular localization and trafficking of the D$_2$ dopamine receptor (D$_2$-R) isoforms
Kaja Blagotinšek Cokan, Maša Mavri, Catrin S. Rutland, Sanja Glisic, Milan Sencanski, Milka Vrecl, Valentina Kubale, 2020, pregledni znanstveni članek

Ključne besede: D$_2$ dopamine receptor, intracellular trafficking, endoplasmic reticulum, retention motifs, ICL3, interacting partners
Celotno besedilo (datoteka, 643,45 KB) Gradivo ima več datotek! Več...

5. Deep learning of tissue-specific gene expression from DNA sequences
Uroš Polanc, 2023, magistrsko delo

Ključne besede: bioinformatics, convolutional neural network, DNA, DNABERT, gene expression, machine learning, sequence motifs, mRNA, predictive models, regulatory mechanisms, tissue-specific gene expression, tissue-specificity
Celotno besedilo (datoteka, 8,50 MB)