Exploiting the noise: improving biomarkers with ensembles of data analysis methodologies
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1756-994X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Exploiting the noise: improving biomarkers with ensembles of data analysis methodologies ; volume:4 ; number:11 ; day:12 ; month:11 ; year:2012 ; pages:1-12 ; date:11.2012
Genome medicine ; 4, Heft 11 (12.11.2012), 1-12, 11.2012
- Urheber
-
Starmans, Maud HW
- Beteiligte Personen und Organisationen
-
Pintilie, Melania
John, Thomas
Der, Sandy D.
Shepherd, Frances A.
Jurisica, Igor
Lambin, Philippe
Tsao, Ming-Sound
Boutros, Paul C.
SpringerLink (Online service)
- DOI
-
10.1186/gm385
- URN
-
urn:nbn:de:1111-2016073129761
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-14T10:54:58+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Starmans, Maud HW
- Pintilie, Melania
- John, Thomas
- Der, Sandy D.
- Shepherd, Frances A.
- Jurisica, Igor
- Lambin, Philippe
- Tsao, Ming-Sound
- Boutros, Paul C.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Improving schema mapping by exploiting domain knowledge
Methodologies for the prediction of future aircraft noise level
Improving business survey data collection instruments: governance and methodologies
Improving business survey data collection instruments: governance and methodologies
Towards exploiting implicit human feedback for improving RDF2vec embeddings
Methods for improving entity linking and exploiting social media messages across crises
Improving prediction of burial state of residues by exploiting correlation among residues
Exploiting a Single‐Crystal Environment to Minimize the Charge Noise on Qubits in Silicon
Improving the signal-to-noise ratio in incoherent imaging
Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
Managing service productivity : using frontier efficiency methodologies and multicriteria decision making for improving service performance
Exploiting proteomics data
Improving schema mapping by exploiting domain knowledge
Methodologies for the prediction of future aircraft noise level
Improving business survey data collection instruments: governance and methodologies
Improving business survey data collection instruments: governance and methodologies
Towards exploiting implicit human feedback for improving RDF2vec embeddings
Methods for improving entity linking and exploiting social media messages across crises
Improving prediction of burial state of residues by exploiting correlation among residues
Exploiting a Single‐Crystal Environment to Minimize the Charge Noise on Qubits in Silicon
Improving the signal-to-noise ratio in incoherent imaging
Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
Managing service productivity : using frontier efficiency methodologies and multicriteria decision making for improving service performance
Exploiting proteomics data
Improving schema mapping by exploiting domain knowledge
Methodologies for the prediction of future aircraft noise level
Improving business survey data collection instruments: governance and methodologies
Improving business survey data collection instruments: governance and methodologies
Towards exploiting implicit human feedback for improving RDF2vec embeddings
Methods for improving entity linking and exploiting social media messages across crises
Improving prediction of burial state of residues by exploiting correlation among residues
Exploiting a Single‐Crystal Environment to Minimize the Charge Noise on Qubits in Silicon
Improving the signal-to-noise ratio in incoherent imaging
Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
Managing service productivity : using frontier efficiency methodologies and multicriteria decision making for improving service performance