Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Impact of adaptive filtering on power and false discovery rate in RNA-seq experiments ; volume:23 ; number:1 ; day:24 ; month:9 ; year:2022 ; pages:1-16 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (24.9.2022), 1-16, 12.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-022-04928-z
- URN
-
urn:nbn:de:101:1-2022121221135078234782
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.09.2026, 07:28 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
- Zehetmayer, Sonja
- Posch, Martin
- Graf, Alexandra
- SpringerLink (Online service)
Ähnliche Objekte (12)
A high-throughput SNP discovery strategy for RNA-seq data
Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq
DFI: gene feature discovery in RNA-seq experiments from multiple sources
A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery
SNP discovery in the bovine milk transcriptome using RNA-Seq technology
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Improving replicability in single-cell RNA-Seq cell type discovery with Dune
False discovery rate envelopes
SeqOthello: querying RNA-seq experiments at scale
Context-based RNA-seq mapping
Neglecting the impact of normalization in semi-synthetic RNA-seq data simulations generates artificial false positives
False discovery rate and asymptotics
A high-throughput SNP discovery strategy for RNA-seq data
Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq
DFI: gene feature discovery in RNA-seq experiments from multiple sources
A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery
SNP discovery in the bovine milk transcriptome using RNA-Seq technology
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Improving replicability in single-cell RNA-Seq cell type discovery with Dune
False discovery rate envelopes
SeqOthello: querying RNA-seq experiments at scale
Context-based RNA-seq mapping
Neglecting the impact of normalization in semi-synthetic RNA-seq data simulations generates artificial false positives
False discovery rate and asymptotics
A high-throughput SNP discovery strategy for RNA-seq data
Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq
DFI: gene feature discovery in RNA-seq experiments from multiple sources
A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery
SNP discovery in the bovine milk transcriptome using RNA-Seq technology
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Improving replicability in single-cell RNA-Seq cell type discovery with Dune
False discovery rate envelopes
SeqOthello: querying RNA-seq experiments at scale
Context-based RNA-seq mapping
Neglecting the impact of normalization in semi-synthetic RNA-seq data simulations generates artificial false positives