Inferring cell-type-specific causal gene regulatory networks during human neurogenesis
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Inferring cell-type-specific causal gene regulatory networks during human neurogenesis ; volume:24 ; number:1 ; day:30 ; month:5 ; year:2023 ; pages:1-25 ; date:12.2023
Genome biology ; 24, Heft 1 (30.5.2023), 1-25, 12.2023
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13059-023-02959-0
- URN
-
urn:nbn:de:101:1-2023091208260596491011
- Rechteinformation
-
Open Access; 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
- Aygün, Nil
- Liang, Dan
- Crouse, Wesley L.
- Keele, Gregory R.
- Love, Michael I.
- Stein, Jason L.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Inferring the conservative causal core of gene regulatory networks
Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction
Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin
Inferring causal phenotype networks using structural equation models
Inferring causal connectivity from pairwise recordings and optogenetics
Inferring gene regulatory networks by thermodynamic modeling
Inferring transcription factor collaborations in gene regulatory networks
Inferring causal influences from expansive distortions between state space reconstructions
A nucleosomal approach to inferring causal relationships of histone modifications
An algebra-based method for inferring gene regulatory networks
A specialized learner for inferring structured cis-regulatory modules
Inferring the role of transcription factors in regulatory networks
Inferring the conservative causal core of gene regulatory networks
Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction
Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin
Inferring causal phenotype networks using structural equation models
Inferring causal connectivity from pairwise recordings and optogenetics
Inferring gene regulatory networks by thermodynamic modeling
Inferring transcription factor collaborations in gene regulatory networks
Inferring causal influences from expansive distortions between state space reconstructions
A nucleosomal approach to inferring causal relationships of histone modifications
An algebra-based method for inferring gene regulatory networks
A specialized learner for inferring structured cis-regulatory modules
Inferring the role of transcription factors in regulatory networks
Inferring the conservative causal core of gene regulatory networks
Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction
Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin
Inferring causal phenotype networks using structural equation models
Inferring causal connectivity from pairwise recordings and optogenetics
Inferring gene regulatory networks by thermodynamic modeling
Inferring transcription factor collaborations in gene regulatory networks
Inferring causal influences from expansive distortions between state space reconstructions
A nucleosomal approach to inferring causal relationships of histone modifications
An algebra-based method for inferring gene regulatory networks
A specialized learner for inferring structured cis-regulatory modules