Regression analysis and modelling of data acquisition for SELDI-TOF mass spectrometry | Zendy

Martin Sköld | Zendy; Tobias Rydén | Zendy; Viktoria Samuelsson | Zendy; Charlotte Bratt | Zendy; Lars Ekblad | Zendy; Håkan Olsson | Zendy; Bo Baldetorp | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Regression analysis and modelling of data acquisition for SELDI-TOF mass spectrometry

Author(s) -

Martin Sköld,

Tobias Rydén,

Viktoria Samuelsson,

Charlotte Bratt,

Lars Ekblad,

Håkan Olsson,

Bo Baldetorp

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm104

Subject(s) - pooling , heteroscedasticity , computer science , estimator , missing data , variance (accounting) , data mining , replicate , linear regression , software , statistics , pattern recognition (psychology) , artificial intelligence , mathematics , machine learning , accounting , business , programming language

Pre-processing of SELDI-TOF mass spectrometry data is currently performed on a largel y ad hoc basis. This makes comparison of results from independent analyses troublesome and does not provide a framework for distinguishing different sources of variation in data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research