Normalization using weighted negative second order exponential error functions (NeONORM) provides robustness against asymmetries in comparative transcriptome profiles and avoids false calls (Q37318160)

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scientific article published on May 2006

Language	Label	Description	Also known as
English	Normalization using weighted negative second order exponential error functions (NeONORM) provides robustness against asymmetries in comparative transcriptome profiles and avoids false calls	scientific article published on May 2006

Statements

scholarly article

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

Normalization using weighted negative second order exponential error functions (NeONORM) provides robustness against asymmetries in comparative transcriptome profiles and avoids false calls (English)

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

0 references

author name string

Sebastian Noth

1

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

Guillaume Brysbaert

2

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

Arndt Benecke

3

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

publication date

1 May 2006

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

Genomics Proteomics and Bioinformatics

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

4

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

2

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

90-109

1 reference

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PMC publication ID

19 August 2017

The genetics of regulatory variation in the human genome

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Applications of DNA microarrays in biology

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Analysis of variance for gene expression microarray data

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High density synthetic oligonucleotide arrays

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Adaptive quality-based clustering of gene expression profiles.

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Robust Locally Weighted Regression and Smoothing Scatterplots

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https://api.crossref.org/works/10.1016%2FS1672-0229%2806%2960021-1

7 January 2021

based on heuristic

inferred from DOI database lookup

Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting

1 reference

https://api.crossref.org/works/10.1016%2FS1672-0229%2806%2960021-1

7 January 2021

based on heuristic

inferred from DOI database lookup

Identifiers

10.1016/S1672-0229(06)60021-1

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

DBLP publication ID

journals/gpb/NothBB06

1 reference

DBLP Dataset 2021-01-02

28 January 2021

PMC publication ID

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

PubMed publication ID

1 reference

Europe PubMed Central

PMC publication ID

19 August 2017

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