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Št. zadetkov: 6
Expression Profiling of Developmental Processes in the Social Amoeba Dictyostelium
prof. dr. Gad Shaulsky
Video in druga učna gradiva
Oznake: medicine
Leto: 2002 Vir: videolectures.net
Actionable gene expression cell profiling with foundation models
Lena Trnovec, Blaž Zupan, Gad Shaulsky
Magistrsko delo
Oznake: foundation models;cell embeddings;single-cell analysis;transfer learning;computer science;master's thesis;
Modern techniques for analyzing cellular data enable a deeper understanding of diseases and the development of more effective therapies. Recently, foundation models — advanced neural networks trained on vast amounts of data — have been developed, representing an important advancement in the analysis ...
Leto: 2025 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Mutual suppression between mutations in the Dictyostelium Greenbeard pathway restores wild-type development
Mariko Katoh-Kurasawa, Lena Trnovec, Peter Lehmann, Blaž Zupan, Gad Shaulsky
Izvirni znanstveni članek
Oznake: genska pot zelene brade;medsebojna genska inhibicija;analiza transkriptomskih podatkov;greenbeard pathway;mutual suppression;transcriptome data analysis;
Background The Dictyostelium greenbeard pathway is mediated by two polymorphic transmembrane proteins,the TgrC1 ligand and the TgrB1 receptor. These proteins mediate allorecognition, altruism, and the developmental transition to multicellularity. A genetic suppressor screen revealed activating mut ...
Leto: 2025 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Online tutorial on survival analysis for biomarker discovery
Jaka Kokošar, Ela Praznik, Martin Špendl, Nancy P. Moreno, Alana Newel, Gad Shaulsky, Blaž Zupan
Izvirni znanstveni članek
Oznake: analiza preživetja;odkrivanje biomarkerjev;Kaplan-Meierjeva krivulja;cenzuriranje podatkov;izobraževanje in usposabljanje;survival analysis;biomarker discovery;Kaplan-Meier curve;censoring;education and training;
In biomedicine, survival analysis addresses time-to-event data to study outcomes like patient survival and treatment response, and supports biomarker discovery. Yet, teaching this analysis is often hindered by mathematical and programming barriers. We present a structured, hands-on tutorial that goe ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Early cAMP signaling orchestrates single-cell synchronicity throughout Dictyostelium development
Mariko Katoh-Kurasawa, Lena Trnovec, Peter Lehmann, Rui Chen, Yumei Li, Blaž Zupan, Gad Shaulsky
Izvirni znanstveni članek
Oznake: cAMP signalizacija;Dictyostelium discoideum;sinhronost celic;razvoj;transkriptomika;cAMP;cell synchronicity;development;transcriptomics;
Synchronicity is observed in many biological systems, including development, as seen in vertebrate body axis formation, fly eye development, and development of the social amoeba D. discoideum. Despite its prevalence, quantitative analyses of synchronicity at the single-cell level remain rare. Here w ...
Leto: 2026 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Democratized image analytics by visual programming through integration of deep models and small-scale machine learning
Primož Godec, Matjaž Pančur, Nejc Ilenič, Andrej Čopar, Martin Stražar, Aleš Erjavec, Ajda Pretnar, Janez Demšar, Anže Starič, Marko Toplak, Lan Žagar, Jan Hartman, Wang Hamilton, Riccardo Bellazzi, Uroš Petrovič, Silvia Garagna, Maurizio Zuccotti, Dongsu Park, Gad Shaulsky, Blaž Zupan
Izvirni znanstveni članek
Oznake: algorithm;biochemical composition;data assimilation;data mining;image analysis;machine learning;numerical model;protein;visualization;
Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we use the visual programming toolbox Orange (http://or ...
Leto: 2019 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 6
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