Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability (Q33358309)

26 July 2017

title

Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability (English)

1 reference

26 July 2017

1 reference

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Marc J van de Vijver

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26 July 2017

Lodewyk F A Wessels

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26 July 2017

Martin H van Vliet

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26 July 2017

Fabien Reyal

series ordinal

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26 July 2017

Hugo M Horlings

series ordinal

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26 July 2017

Marcel J T Reinders

series ordinal

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26 July 2017

language of work or name

English

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publication date

6 August 2008

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26 July 2017

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26 July 2017

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26 July 2017

page(s)

375

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Merging microarray data from separate breast cancer studies provides a robust prognostic test

26 July 2017

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21 June 2018

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21 June 2018

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Large-scale integration of cancer microarray data identifies a robust common cancer signature

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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Possible involvement of CCT5, RGS3, and YKT6 genes up-regulated in p53-mutated tumors in resistance to docetaxel in human breast cancers

21 June 2018

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21 June 2018

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KIF14 mRNA expression is a predictor of grade and outcome in breast cancer

21 June 2018

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Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts

21 June 2018

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21 June 2018

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Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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A gene-expression signature as a predictor of survival in breast cancer

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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Gene expression profiling predicts clinical outcome of breast cancer

21 June 2018

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21 June 2018

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21 June 2018

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Prediction of metastatic relapse in node-positive breast cancer: establishment of a clinicogenomic model after FEC100 adjuvant regimen

31 October 2018

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Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?

31 October 2018

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Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series

31 October 2018

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Expression of class III {beta}-tubulin is predictive of patient outcome in patients with non-small cell lung cancer receiving vinorelbine-based chemotherapy.

31 October 2018

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Semaphorin signaling guides cranial neural crest cell migration in zebrafish

31 October 2018

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Class III -Tubulin Expression and Benefit from Adjuvant Cisplatin/Vinorelbine Chemotherapy in Operable Non-Small Cell Lung Cancer: Analysis of NCIC JBR.10

31 October 2018

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Multiple robust signatures for detecting lymph node metastasis in head and neck cancer

31 October 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/18684329

12 December 2020

inferred from PubMed ID database lookup

Determination of oestrogen-receptor status and ERBB2 status of breast carcinoma: a gene-expression profiling study

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/18684329

12 December 2020

inferred from PubMed ID database lookup

Prediction of cancer outcome with microarrays: a multiple random validation strategy

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/18684329

12 December 2020

inferred from PubMed ID database lookup

Identifiers

DOI

10.1186/1471-2164-9-375

1 reference

Dimensions Publication ID

26 July 2017

1 reference

https://scigraph.springernature.com/pub.10.1186/1471-2164-9-375

release_zfcp5744xfh6zkhdf7lqdqwxda

9 September 2019

Fatcat ID

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/zfcp5744xfh6zkhdf7lqdqwxda

24 November 2022

mapped directly with Wikidata item

PMC publication ID

2527336

1 reference

26 July 2017

1 reference