PXD018996

PXD018996 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Urinary Proteomic Spectra Analysis Based on Machine Learning for Classification of Kidney Diseases
Description	To extract urinary proteome spectral features based on advanced mass spectrometer and machine learning algorithms, it could get more accurate reporting results for disease classification. We tried to establish a novel diagnosis model of kidney diseases by combining machine learning XGBoost algorithm with complete urinary proteomic information.
HostingRepository	PRIDE
AnnounceDate	2022-09-13
AnnouncementXML	Submission_2022-09-13_04:03:40.686.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yong Zhang
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2020-05-05 01:20:30	ID requested
⏵ 1	2022-09-13 04:03:41	announced

Publication List

Dataset with its publication pending

Dataset with its publication pending

Keyword List

submitter keyword: Kidney Disease Classification
Urinary Proteomics
Machine Learning Algorithm
Diagnosis

submitter keyword: Kidney Disease Classification

Urinary Proteomics

Machine Learning Algorithm

Diagnosis

Contact List

Yong Zhang
contact affiliation	West China Hospital,Sichuan University
contact email	nankai1989Q@foxmail.com
lab head
Yong Zhang
contact affiliation	Sichuan University
contact email	nankai1989@foxmail.com
dataset submitter

Full Dataset Link List

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/2022/09/PXD018996
PRIDE project URI

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/2022/09/PXD018996

PRIDE project URI

Repository Record List

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