Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome ; volume:13 ; number:4 ; day:28 ; month:3 ; year:2012 ; pages:1-12 ; date:12.2012
BMC bioinformatics ; 13, Heft 4 (28.3.2012), 1-12, 12.2012

Creator: Cornero, Andrea

Contributor: Acquaviva, Massimo
Fardin, Paolo
Versteeg, Rogier
Schramm, Alexander
Eva, Alessandra
Bosco, Maria Carla
Blengio, Fabiola
Barzaghi, Sara
Varesio, Luigi
SpringerLink (Online service)

DOI: 10.1186/1471-2105-13-S4-S13

URN: urn:nbn:de:1111-2016021737950

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Cornero, Andrea
Acquaviva, Massimo
Fardin, Paolo
Versteeg, Rogier
Schramm, Alexander
Eva, Alessandra
Bosco, Maria Carla
Blengio, Fabiola
Barzaghi, Sara
Varesio, Luigi
SpringerLink (Online service)

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Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome

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Other Objects (12)

Artificial neural network classifier predicts neuroblastoma patients’ outcome

An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

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Predicting MYCN amplification in paediatric neuroblastoma: development and validation of a 18F-FDG PET/CT-based radiomics signature

A 6-gene signature identifies four molecular subgroups of neuroblastoma

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Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

Multiple classifier applied on predicting microsleep from speech

Autoantibody Signature Differentiates Wilms Tumor Patients from Neuroblastoma Patients

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A 6-gene signature identifies four molecular subgroups of neuroblastoma

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An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach

Multiple classifier applied on predicting microsleep from speech

Autoantibody Signature Differentiates Wilms Tumor Patients from Neuroblastoma Patients

Gene expression signature of acquired chemoresistance in neuroblastoma cells

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Predicting breast cancer using an expression values weighted clinical classifier

Predicting clinical outcomes in neuroblastoma with genomic data integration

Development and validation of a 21-gene prognostic signature in neuroblastoma

Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma

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