funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data ; volume:19 ; number:1 ; day:14 ; month:11 ; year:2018 ; pages:1-17 ; date:12.2018
BMC genomics ; 19, Heft 1 (14.11.2018), 1-17, 12.2018
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Kolberg, Liis
Kuzmin, Ivan
Adler, Priit
Vilo, Jaak
Peterson, Hedi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-018-5176-x
- URN
-
urn:nbn:de:101:1-2019011100063027951282
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kolberg, Liis
- Kuzmin, Ivan
- Adler, Priit
- Vilo, Jaak
- Peterson, Hedi
- SpringerLink (Online service)
Other Objects (12)
Data-driven normalization strategies for high-throughput quantitative RT-PCR
High-throughput analysis system of interaction kinetics for data-driven antibody design
High-throughput and data-driven machine learning techniques for discovering high-entropy alloys
High‐Throughput Data‐Driven Prediction of Stable High‐Performance Na‐Ion Sulfide Solid Electrolytes
Genome reassembly with high-throughput sequencing data
Computational Methods for High-Throughput Transcriptomic Data
Data‐Driven High‐Throughput Rational Design of Double‐Atom Catalysts for Oxygen Evolution and Reduction
Exploring the transcriptome with high-throughput sequencing data
Statistical analysis of high-throughput sequencing count data
Linked Data basierter Explorer
Highly data-driven mathematical description of single neuron and recurrent network activity : towards 'high-throughput' computational neuroscience
A data-driven high-throughput workflow applied to promoted In-oxide catalysts for CO2 hydrogenation to methanol
Data-driven normalization strategies for high-throughput quantitative RT-PCR
High-throughput analysis system of interaction kinetics for data-driven antibody design
High-throughput and data-driven machine learning techniques for discovering high-entropy alloys
High‐Throughput Data‐Driven Prediction of Stable High‐Performance Na‐Ion Sulfide Solid Electrolytes
Genome reassembly with high-throughput sequencing data
Computational Methods for High-Throughput Transcriptomic Data
Data‐Driven High‐Throughput Rational Design of Double‐Atom Catalysts for Oxygen Evolution and Reduction
Exploring the transcriptome with high-throughput sequencing data
Statistical analysis of high-throughput sequencing count data
Linked Data basierter Explorer
Highly data-driven mathematical description of single neuron and recurrent network activity : towards 'high-throughput' computational neuroscience
A data-driven high-throughput workflow applied to promoted In-oxide catalysts for CO2 hydrogenation to methanol
Data-driven normalization strategies for high-throughput quantitative RT-PCR
High-throughput analysis system of interaction kinetics for data-driven antibody design
High-throughput and data-driven machine learning techniques for discovering high-entropy alloys
High‐Throughput Data‐Driven Prediction of Stable High‐Performance Na‐Ion Sulfide Solid Electrolytes
Genome reassembly with high-throughput sequencing data
Computational Methods for High-Throughput Transcriptomic Data
Data‐Driven High‐Throughput Rational Design of Double‐Atom Catalysts for Oxygen Evolution and Reduction
Exploring the transcriptome with high-throughput sequencing data
Statistical analysis of high-throughput sequencing count data
Linked Data basierter Explorer
Highly data-driven mathematical description of single neuron and recurrent network activity : towards 'high-throughput' computational neuroscience