Investigations

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175 Investigations visible to you, out of a total of 540

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Bachmann et al (2011) Molecular Systems Biology 7:516

Molecular Systems Biology

Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range

Submitter: Dawie van Niekerk

Studies: Figure 3A: Model calibration with experimental data of JAK2-STAT5 signal...

Assays: Model for JAK2/STAT5 signaling, Source data for Figure 3A: Experimental quantitative immunoblotting data.

Snapshots: No snapshots

Created: 3rd Mar 2016 at 09:42, Last updated: 3rd Mar 2016 at 10:06

Beaton, Martin

PlaSMo model repository

Collection of models submitted to PLaSMo by Martin Beaton and automatically transferred to FAIRDOM Hub.

Submitter: BioData SynthSys

Studies: Central plant metabolism - PLM_61, Glycolysis SBGN - PLM_60, Insulin-like growth factor signaling - PLM_62, Martin test - PLM_65, Neuronal muscle signalling - PLM_63

Assays: Central plant metabolism - PLM_61, version 1, Glycolysis SBGN - PLM_60, version 1, Insulin-like growth factor signaling - PLM_62, version 1, Martin test - PLM_65, version 1, Martin test - PLM_65, version 2, Neuronal muscle signalling - PLM_63, version 1

Snapshots: No snapshots

Created: 10th Jan 2019 at 16:37

Biomedical named entity recognition

PoLiMeR - Polymers in the Liver: Metabolism and Regulation

In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Improving the NER’s performance will directly have a positive impact on extracting relations between those entities. In recent years, deep learning has become the main research direction of NER due to the development of effective models. Language transformer models like e.g. BERT are frequently used because they enable the specialisation of models by domain-specific ...

Submitter: Ghadeer Mobasher

Studies: Weighted loss trainer (WELT) approach

Assays: No Assays

Snapshots: No snapshots

Created: 25th Nov 2021 at 10:55, Last updated: 30th Aug 2023 at 09:02

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