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Regression Models to Detect and Quan...

University of Washington.

Regression Models to Detect and Quantify Peptides from Mass Spectra.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Regression Models to Detect and Quantify Peptides from Mass Spectra./
作者:	Hu, Alex.
面頁冊數:	1 online resource (78 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Contained By:	Dissertation Abstracts International79-09B(E).
標題:	Bioinformatics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355850581

Regression Models to Detect and Quantify Peptides from Mass Spectra.
Hu, Alex.

Regression Models to Detect and Quantify Peptides from Mass Spectra. - 1 online resource (78 pages)

Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.

Thesis (Ph.D.)--University of Washington, 2018.

Includes bibliographical references

Data-independent acquisition (DIA) mass spectrometry-based proteomics aims to quantify every peptide and its derivatives in a sample by systematically sampling every ion. However, much of the signal in the resulting spectra is difficult to interpret because they represent complex mixtures of ions, preventing the accurate quantification of every peptide.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355850581Subjects--Topical Terms:

583857
Bioinformatics.
Index Terms--Genre/Form:

554714
Electronic books.

Regression Models to Detect and Quantify Peptides from Mass Spectra.
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245 1 0 $a Regression Models to Detect and Quantify Peptides from Mass Spectra.
264 0 $c 2018
300 $a 1 online resource (78 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
500 $a Advisers: William S. Noble; Alejandro Wolf-Yadlin.
502 $a Thesis (Ph.D.)--University of Washington, 2018.
504 $a Includes bibliographical references
520 $a Data-independent acquisition (DIA) mass spectrometry-based proteomics aims to quantify every peptide and its derivatives in a sample by systematically sampling every ion. However, much of the signal in the resulting spectra is difficult to interpret because they represent complex mixtures of ions, preventing the accurate quantification of every peptide.
520 $a I propose regularized linear regression approaches to jointly account for mixtures of multiple peptides and their relationships in DIA spectra to deconvolve spectra precursor and fragment spectra, remove the problem of interference, and improve the sensitivity and precision of peptide detection and quantification. The deconvolution extracts information invisible to current methods and provides a framework to detect and quantify more peptides.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Bioinformatics. $3 583857
655 7 $a Electronic books. $2 local $3 554714
690 $a 0715
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Washington. $b Genome Sciences. $3 1190110
773 0 $t Dissertation Abstracts International $g 79-09B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10750946 $z click for full text (PQDT)

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