Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients (Q33891903)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25078098 AND SRC:MED&resulttype=core&format=json

11 March 2020

title

Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients (English)

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11 March 2020

0 references

1 reference

3

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11 March 2020

Rogier Versteeg

6

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11 March 2020

author name string

Davide Cangelosi

1

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11 March 2020

Marco Muselli

2

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11 March 2020

Fabiola Blengio

4

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11 March 2020

Pamela Becherini

5

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11 March 2020

Massimo Conte

7

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11 March 2020

Luigi Varesio

8

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11 March 2020

publication date

6 May 2014

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11 March 2020

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11 March 2020

volume

15 Suppl 5

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11 March 2020

page(s)

S4

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Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients

11 March 2020

cites work

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines

5 July 2018

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Predicting outcomes for children with neuroblastoma using a multigene-expression signature: a retrospective SIOPEN/COG/GPOH study

5 July 2018

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Balanced gradient boosting from imbalanced data for clinical outcome prediction

5 July 2018

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Reanalysis of neuroblastoma expression profiling data using improved methodology and extended follow-up increases validity of outcome prediction

5 July 2018

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ZNF423 is critically required for retinoic acid-induced differentiation and is a marker of neuroblastoma outcome

5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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Prognostic impact of gene expression-based classification for neuroblastoma.

29 October 2018

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29 October 2018

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Prediction of clinical outcome and biological characterization of neuroblastoma by expression profiling

29 October 2018

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Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas

29 October 2018

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29 October 2018

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Classification of neuroblastoma patients by published gene-expression markers reveals a low sensitivity for unfavorable courses of MYCN non-amplified disease

29 October 2018

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Customized Oligonucleotide Microarray Gene Expression–Based Classification of Neuroblastoma Patients Outperforms Current Clinical Risk Stratification

29 October 2018

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29 October 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/25078098

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1186/1471-2105-15-S5-S4

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journals/bmcbi/CangelosiMPBBVCV14

11 March 2020

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

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11 March 2020

PubMed publication ID

25078098

1 reference