uu.seUppsala universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Improvments and evaluation of data processing in LC-MS metabolomics: for application in in vitro systems pharmacology
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för biologisk grundutbildning.
2017 (engelsk)Independent thesis Advanced level (professional degree), 20 poäng / 30 hpOppgave
Abstract [en]

The resistance of established medicines is rapidly increasing while the rate of

discovery of new drugs and treatments have not increases during the last decades

(Spiro et al. 2008). Systems pharmacology can be used to find new combinations or

concentrations of established drugs to find new treatments faster (Borisy et al. 2003).

A recent study aimed to use high resolution Liquid chromatography–mass

spectrometry (LC-MS) for in vitro systems pharmacology, but encountered problems

with unwanted variability and batch effects(Herman et al. 2017). This thesis builds on

this work by improving the pipeline and comparing alternative methods and evaluating

used methods. The evaluation of methods indicated that the data quality was often

not improved substantially by complex methods and pipelines. Instead simpler

methods such as binning for feature extraction performed best. In-fact many of the

preprocessing method commonly used proved to have negative or neglect-able effects

on resulting data quality. Finally the recently introduced Optimal Orthonormal System

for Discriminant Analysis (OOS-DA) for batch removal was found to be a good

alternative to the more complex Combat method.

sted, utgiver, år, opplag, sider
2017.
Serie
UPTEC X ; 17 028
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-329971OAI: oai:DiVA.org:uu-329971DiVA, id: diva2:1143969
Utdanningsprogram
Molecular Biotechnology Engineering Programme
Veileder
Examiner
Tilgjengelig fra: 2017-09-25 Laget: 2017-09-24 Sist oppdatert: 2018-01-13bibliografisk kontrollert

Open Access i DiVA

fulltext(12915 kB)273 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 12915 kBChecksum SHA-512
39cd544a64d743faa27371fe697439cad8c8bc517e7a0f83c89956d5b319d737d74b0544c5a0ae44fbe61176216bd5fed1a1433f5cce4ea49453acdca6abd065
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 273 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 547 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf