2002
DOI: 10.1101/gr.182601
|View full text |Cite
|
Sign up to set email alerts
|

Finding Genes in the C2C12 Osteogenic Pathway by k-Nearest-Neighbor Classification of Expression Data

Abstract: A supervised classification scheme for analyzing microarray expression data, based on the k-nearest-neighbor method coupled to noise-reduction filters, has been used to find genes involved in the osteogenic pathway of the mouse C2C12 cell line studied here as a model for in vivo osteogenesis. The scheme uses as input a training set embodying expert biological knowledge, and provides internal estimates of its own misclassification errors, which furthermore enables systematic optimization of the classifier param… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
37
0
1

Year Published

2004
2004
2022
2022

Publication Types

Select...
5
4

Relationship

2
7

Authors

Journals

citations
Cited by 65 publications
(38 citation statements)
references
References 46 publications
0
37
0
1
Order By: Relevance
“…Total RNA was also extracted from ST-2 and C3H10T1/2 cells under similar conditions. Total RNA samples from C2C12 cells were hybridized to the complete series of Affymetrix 35,000 mouse chips as described by Theilhaber et al (23), and data assembly and analysis were carried as described by the authors (23).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Total RNA was also extracted from ST-2 and C3H10T1/2 cells under similar conditions. Total RNA samples from C2C12 cells were hybridized to the complete series of Affymetrix 35,000 mouse chips as described by Theilhaber et al (23), and data assembly and analysis were carried as described by the authors (23).…”
Section: Methodsmentioning
confidence: 99%
“…genome-wide expression analysis by determining changes in expression levels of 27,000 genes with Affymetrix oligonucleotide chips (23). Among these genes Frizzled-1 (mFz1) was found to be significantly increased in the presence of BMP-2 (Fig.…”
Section: Fig 2 Frizzled-1 Inhibits Bmp-2 and Wnt Activitiesmentioning
confidence: 99%
“…Missing values were imputed using the inbuilt KNN algorithm of TMev 4.0 with default settings (Theilhaber et al, 2002). If two observations are described in the text as different, this means that their difference was determined to be statistically different (p £ 0.05) by the performance of the students t-test using the algorithm embedded into Microsoft Excel, differences at the p £ 0.01 level are additionally demarcated within the Supplementary data set (Microsoft, Seattle, WA).…”
Section: Discussionmentioning
confidence: 99%
“…In this work, the KNN method was used to classify "test subjects" generated by the HOCV procedure (see below) for internally validating the aging signature (54). An unclassified subject was classified by polling the classes (young or older) of the KNN (where a "neighbor" is a subject) in expression space, with parameter k ϭ 3 subjects, and assigning membership of that subject (young or older) based on the most prevalent class of its three neighbors.…”
Section: Knn Classificationmentioning
confidence: 99%