EP 3628068 A4 20201230 - SYSTEMS AND METHODS FOR DETERMINING ATTRIBUTES OF BIOLOGICAL SAMPLES
Title (en)
SYSTEMS AND METHODS FOR DETERMINING ATTRIBUTES OF BIOLOGICAL SAMPLES
Title (de)
SYSTEME UND VERFAHREN ZUR BESTIMMUNG VON EIGENSCHAFTEN BIOLOGISCHER PROBEN
Title (fr)
SYSTÈMES ET PROCÉDÉS POUR DÉTERMINER LES ATTRIBUTS D'ÉCHANTILLONS BIOLOGIQUES
Publication
Application
Priority
US 2017030703 W 20170502
Abstract (en)
[origin: WO2018203885A1] Systems and methods of determining pre-quantitation attributes of biological samples using post-quantitation attributes of those samples is disclosed. By altering a set of biological samples in a measurable way before running the set through an instrument (e.g., a mass spectrometer), a model can be developed that enables determination of the unknown pre-quantitation attributes in other biological samples as a function of post-quantitation attributes.
IPC 8 full level
G16B 40/10 (2019.01)
CPC (source: EP)
G16B 40/10 (2019.01)
Citation (search report)
- [A] US 2016003799 A1 20160107 - KAMLAGE BEATE [DE], et al
- [I] GABRIELE ANTON ET AL: "Pre-Analytical Sample Quality: Metabolite Ratios as an Intrinsic Marker for Prolonged Room Temperature Exposure of Serum Samples", PLOS ONE, vol. 10, no. 3, 30 March 2015 (2015-03-30), pages e0121495, XP055569897, DOI: 10.1371/journal.pone.0121495
- [I] AMADOU GAYE ET AL: "Understanding the impact of pre-analytic variation in haematological and clinical chemistry analytes on the power of association studies", INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, vol. 43, no. 5, 31 July 2014 (2014-07-31), GB, pages 1633 - 1644, XP055748806, ISSN: 0300-5771, DOI: 10.1093/ije/dyu127
- [A] ANNA LOUISE SWAN ET AL: "Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology", OMICS A JOURNAL OF INTEGRATIVE BIOLOGY, vol. 17, no. 12, 1 December 2013 (2013-12-01), NEW YORK, NY, US, pages 595 - 610, XP055748880, ISSN: 1536-2310, DOI: 10.1089/omi.2013.0017
- [A] ANIS KARIMPOUR-FARD ET AL: "A survey of computational tools for downstream analysis of proteomic and other omic datasets", HUMAN GENOMICS, BIOMED CENTRAL LTD, LONDON, UK, vol. 9, no. 1, 28 October 2015 (2015-10-28), pages 28, XP021228870, ISSN: 1479-7364, DOI: 10.1186/S40246-015-0050-2
- See references of WO 2018203885A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
WO 2018203885 A1 20181108; EP 3628068 A1 20200401; EP 3628068 A4 20201230; JP 2020518834 A 20200625
DOCDB simple family (application)
US 2017030703 W 20170502; EP 17908722 A 20170502; JP 2020511727 A 20170502