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Attila Gabor

Showing results (11-20 of 19) with videos related to

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Molecular Systems Biology|October 18, 2021
Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowdAttila Gabor, Marco Tognetti, Alice Driessen, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|November 28, 2023
A network-based transcriptomic landscape of HepG2 cells uncovering causal gene-cytotoxicity interactions underlying drug-induced liver injuryLukas S Wijaya, Attila Gabor, Iris E Pot, et al.
Cell Systems|May 1, 2021
Deciphering the signaling network of breast cancer improves drug sensitivity predictionMarco Tognetti, Attila Gabor, Mi Yang, et al.
Archives of Toxicology|June 21, 2021
New insights into the mechanisms underlying 5-fluorouracil-induced intestinal toxicity based on transcriptomic and metabolomic responses in human intestinal organoidsDaniela Rodrigues, Terezinha de Souza, Luke Coyle, et al.
Journal of Dermatological Science|May 25, 2013
The chemokine receptor CCR3 participates in tissue remodeling during atopic skin inflammationKrisztian Gaspar, Gabriela Kukova, Erich Bunemann, et al.
Molecular Systems Biology|January 27, 2021
Causal integration of multi-omics data with prior knowledge to generate mechanistic hypothesesAurelien Dugourd, Christoph Kuppe, Marco Sciacovelli, et al.
Biochemical Pharmacology|May 6, 2021
Integration of temporal single cell cellular stress response activity with logic-ODE modeling reveals activation of ATF4-CHOP axis as a critical predictor of drug-induced liver injuryLukas Surya Wijaya, Panuwat Trairatphisan, Attila Gabor, et al.
Life Science Alliance|September 25, 2020
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics dataJovan Tanevski, Thin Nguyen, Buu Truong, et al.
Nature Reviews. Drug Discovery|October 28, 2025
Quantitative systems toxicology: modelling to mechanistically understand and predict drug safetyChristopher E Goldring, Giusy Russomanno, Carmen Pin, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Molecular Systems Biology|October 18, 2021
Cell-to-cell and type-to-type heterogeneity of signaling networks: insights from the crowdAttila Gabor, Marco Tognetti, Alice Driessen, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|November 28, 2023
A network-based transcriptomic landscape of HepG2 cells uncovering causal gene-cytotoxicity interactions underlying drug-induced liver injuryLukas S Wijaya, Attila Gabor, Iris E Pot, et al.
Cell Systems|May 1, 2021
Deciphering the signaling network of breast cancer improves drug sensitivity predictionMarco Tognetti, Attila Gabor, Mi Yang, et al.
Archives of Toxicology|June 21, 2021
New insights into the mechanisms underlying 5-fluorouracil-induced intestinal toxicity based on transcriptomic and metabolomic responses in human intestinal organoidsDaniela Rodrigues, Terezinha de Souza, Luke Coyle, et al.
Journal of Dermatological Science|May 25, 2013
The chemokine receptor CCR3 participates in tissue remodeling during atopic skin inflammationKrisztian Gaspar, Gabriela Kukova, Erich Bunemann, et al.
Molecular Systems Biology|January 27, 2021
Causal integration of multi-omics data with prior knowledge to generate mechanistic hypothesesAurelien Dugourd, Christoph Kuppe, Marco Sciacovelli, et al.
Biochemical Pharmacology|May 6, 2021
Integration of temporal single cell cellular stress response activity with logic-ODE modeling reveals activation of ATF4-CHOP axis as a critical predictor of drug-induced liver injuryLukas Surya Wijaya, Panuwat Trairatphisan, Attila Gabor, et al.
Life Science Alliance|September 25, 2020
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics dataJovan Tanevski, Thin Nguyen, Buu Truong, et al.
Nature Reviews. Drug Discovery|October 28, 2025
Quantitative systems toxicology: modelling to mechanistically understand and predict drug safetyChristopher E Goldring, Giusy Russomanno, Carmen Pin, et al.
Pageof 2