- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A new computational strategy for predicting essential genes ; volume:14 ; number:1 ; day:21 ; month:12 ; year:2013 ; pages:1-13 ; date:12.2013
BMC genomics ; 14, Heft 1 (21.12.2013), 1-13, 12.2013
- Urheber
-
Cheng, Jian
- Beteiligte Personen und Organisationen
-
Wu, Wenwu
Zhang, Yinwen
Li, Xiangchen
Jiang, Xiaoqian
Wei, Gehong
Tao, Shiheng
SpringerLink (Online service)
- DOI
-
10.1186/1471-2164-14-910
- URN
-
urn:nbn:de:1111-2016072849762
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:58 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
- Cheng, Jian
- Wu, Wenwu
- Zhang, Yinwen
- Li, Xiangchen
- Jiang, Xiaoqian
- Wei, Gehong
- Tao, Shiheng
- SpringerLink (Online service)
Ähnliche Objekte (12)
DeeplyEssential: a deep neural network for predicting essential genes in microbes
BAGEL: a computational framework for identifying essential genes from pooled library screens
Essential Bacillus subtilis genes
Targeting myeloma essential genes using NOT Gated CAR T-cells, a computational approach
Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugia malayi
Essential Revelation Mechanisms and Computational Complexity
Essential guidelines for computational method benchmarking
Predicting as a learning strategy
Predicting as a learning strategy
An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Essential genes: a cross-species perspective
krCRISPR: an easy and efficient strategy for generating conditional knockout of essential genes in cells
DeeplyEssential: a deep neural network for predicting essential genes in microbes
BAGEL: a computational framework for identifying essential genes from pooled library screens
Essential Bacillus subtilis genes
Targeting myeloma essential genes using NOT Gated CAR T-cells, a computational approach
Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugia malayi
Essential Revelation Mechanisms and Computational Complexity
Essential guidelines for computational method benchmarking
Predicting as a learning strategy
Predicting as a learning strategy
An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Essential genes: a cross-species perspective
krCRISPR: an easy and efficient strategy for generating conditional knockout of essential genes in cells
DeeplyEssential: a deep neural network for predicting essential genes in microbes
BAGEL: a computational framework for identifying essential genes from pooled library screens
Essential Bacillus subtilis genes
Targeting myeloma essential genes using NOT Gated CAR T-cells, a computational approach
Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugia malayi
Essential Revelation Mechanisms and Computational Complexity
Essential guidelines for computational method benchmarking
Predicting as a learning strategy
Predicting as a learning strategy
An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Essential genes: a cross-species perspective