- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Decreasing the number of false positives in sequence classification ; volume:11 ; number:5 ; day:22 ; month:12 ; year:2010 ; pages:1-12 ; date:12.2010
BMC genomics ; 11, Heft 5 (22.12.2010), 1-12, 12.2010
- Urheber
-
Machado-Lima, Ariane
- Beteiligte Personen und Organisationen
-
Kashiwabara, André Yoshiaki
Durham, Alan Mitchell
SpringerLink (Online service)
- DOI
-
10.1186/1471-2164-11-S5-S10
- URN
-
urn:nbn:de:1111-2016072825131
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:44 MESZ
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
- Machado-Lima, Ariane
- Kashiwabara, André Yoshiaki
- Durham, Alan Mitchell
- SpringerLink (Online service)
Ähnliche Objekte (12)
Martingale Methods for Control of False Discovery Rate and Expected Number of False Rejections
Efficient evaluation of the Number of False Alarm criterion
Detecting false positive sequence homology: a machine learning approach
Controlling the Number of False Rejections in Multiple Hypotheses Testing
Alert classification to reduce false positives in intrusion detection
Classification shifting using income-decreasing special items: measurement and valuation issues
Psychological factors can cause false pain classification on painDETECT
FALSE
Growth of the perfect sequence covering array number
On decreasing impatience
The Decreasing Chinese.
Sequence function classification by machine learning methods
Martingale Methods for Control of False Discovery Rate and Expected Number of False Rejections
Efficient evaluation of the Number of False Alarm criterion
Detecting false positive sequence homology: a machine learning approach
Controlling the Number of False Rejections in Multiple Hypotheses Testing
Alert classification to reduce false positives in intrusion detection
Classification shifting using income-decreasing special items: measurement and valuation issues
Psychological factors can cause false pain classification on painDETECT
FALSE
Growth of the perfect sequence covering array number
On decreasing impatience
The Decreasing Chinese.
Sequence function classification by machine learning methods
Martingale Methods for Control of False Discovery Rate and Expected Number of False Rejections
Efficient evaluation of the Number of False Alarm criterion
Detecting false positive sequence homology: a machine learning approach
Controlling the Number of False Rejections in Multiple Hypotheses Testing
Alert classification to reduce false positives in intrusion detection
Classification shifting using income-decreasing special items: measurement and valuation issues
Psychological factors can cause false pain classification on painDETECT
FALSE
Growth of the perfect sequence covering array number
On decreasing impatience
The Decreasing Chinese.