PXD020398

PXD020398 is an original dataset announced via ProteomeXchange.

Title	Support-vector-machine learning analysis of the human cerebrovascular thrombi proteome: an exploratory study
Description	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.
HostingRepository	PRIDE
AnnounceDate	2020-11-06
AnnouncementXML	Submission_2020-11-06_05:00:11.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Oana Vigy
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2020-07-16 04:19:52	ID requested
⏵ 1	2020-11-06 05:00:12	announced

Dataset with its publication pending

submitter keyword: Stroke, thrombus, cerebrovascular, mechanical thrombectomy, mass-spectrometry, support vector machine learning, neuroradiology

Dr. Nicola Marchi
contact affiliation	IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.
contact email	Nicola.Marchi@igf.cnrs.fr
lab head
Oana Vigy
contact affiliation	FPP CNRS
contact email	oana.vigy@fpp.cnrs.fr
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2020/11/PXD020398

PRIDE project URI

• PRIDE
  1. PXD020398
     1. Label: PRIDE project
     2. Name: Support-vector-machine learning analysis of the human cerebrovascular thrombi proteome: an exploratory study