2009
DOI: 10.1093/bioinformatics/btp677
|View full text |Cite
|
Sign up to set email alerts
|

On the beta-binomial model for analysis of spectral count data in label-free tandem mass spectrometry-based proteomics

Abstract: Supplementary data are available at Bioinformatics online.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
175
0
3

Year Published

2009
2009
2024
2024

Publication Types

Select...
8
1

Relationship

4
5

Authors

Journals

citations
Cited by 170 publications
(183 citation statements)
references
References 15 publications
1
175
0
3
Order By: Relevance
“…Additionally, spectral counts were normalized by dividing the spectral counts per protein by the sum of all counts per sample, multiplied by the average sum across all samples. Subsequently, the fold change (Fc) and P values between counts for detergent pellet and detergent supernatant were calculated using the beta binominal test for spectral count data (28).…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, spectral counts were normalized by dividing the spectral counts per protein by the sum of all counts per sample, multiplied by the average sum across all samples. Subsequently, the fold change (Fc) and P values between counts for detergent pellet and detergent supernatant were calculated using the beta binominal test for spectral count data (28).…”
Section: Methodsmentioning
confidence: 99%
“…Statistical evaluation was conducted with the beta-binomial test, which takes into account the discrete nature of spectral counting data and models both within-sample variation and between-sample variation, within a single statistical framework (21). Here, the beta-binomial test was applied to identify proteins that show statistically significant differences in spectral count numbers between the group of colon tumor proximal fluid samples and the group of normal colon proximal fluid samples.…”
Section: Statistical Evaluationmentioning
confidence: 99%
“…Average values for each substrate were obtained from three biological replicate experiments and used to calculate the fold changes in the normalized spectral counts (spectral counts of a protein obtained from oxalate samples divided by spectral counts of the protein obtained from the reference sample). A one-way analysis of variance with log 2 transformation was used to evaluate the statistical significance of observed changes (47). Prior to normalization, zero values were set to 1.…”
Section: Chemicals [mentioning
confidence: 99%