Support-vector-machine learning analysis of the human cerebrovascular thrombi proteome: an exploratory study
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ABSTRACT: Mechanical retrieval of thrombotic material from acute ischemic stroke subjects provides a unique entry point for translational research investigations. Here, we resolved the proteomes of cardioembolic and atherothrombotic cerebrovascular human thrombi and applied an articial intelligence routine to analyze potential protein signatures between the two selected groups.
INSTRUMENT(S):
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Blood, Blood Clot
DISEASE(S): Stroke,Cardiovascular System Disease
SUBMITTER:
Oana Vigy
LAB HEAD: Dr. Nicola Marchi
PROVIDER: PXD020398 | Pride | 2020-11-05
REPOSITORIES: Pride
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