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Paper Details

Machine-learning classification identifies patients with early systemic sclerosis as abatacept responders via CD28 pathway modulation.
JCI Insight
3
2022
Author NameAffiliation
Tammara A WoodGeisel School of Medicine at Dartmouth
Cathie SpinoUniversity of Michigan ann arbor
Michael L WhitfieldGeisel School of Medicine at Dartmouth
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Datasets

ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA database of metabolic and signaling pathwaysLink
ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link
ReactomeA manually curated, peer-reviewed database of biomolecular pathways.Link