Analysis and correction of compositional bias in sparse sequencing count data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Analysis and correction of compositional bias in sparse sequencing count data ; volume:19 ; number:1 ; day:6 ; month:11 ; year:2018 ; pages:1-23 ; date:12.2018
BMC genomics ; 19, Heft 1 (6.11.2018), 1-23, 12.2018
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Kumar, M. Senthil
Slud, Eric V.
Okrah, Kwame
Hicks, Stephanie C.
Hannenhalli, Sridhar
Corrada Bravo, Héctor
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-018-5160-5
- URN
-
urn:nbn:de:101:1-2018122420491098309239
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 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
- Kumar, M. Senthil
- Slud, Eric V.
- Okrah, Kwame
- Hicks, Stephanie C.
- Hannenhalli, Sridhar
- Corrada Bravo, Héctor
- SpringerLink (Online service)
Ähnliche Objekte (12)
Reducing bias in RNA sequencing data: a novel approach to compute counts
Compositional Bias in Naïve and Chemically-modified Phage-Displayed Libraries uncovered by Paired-end Deep Sequencing
Detection of transposable elements by their compositional bias
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
A robust knockoff filter for sparse regression analysis of microbiome compositional data
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data
Same-strand overlapping genes in bacteria: compositional determinants of phase bias
Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements
Why Documenting Every Gender Bias Counts: A Short Commentary
Statistical analysis of high throughput sequencing count data
Statistical analysis of high-throughput sequencing count data
GC-compositional strand bias around transcription start sites in plants and fungi
Reducing bias in RNA sequencing data: a novel approach to compute counts
Compositional Bias in Naïve and Chemically-modified Phage-Displayed Libraries uncovered by Paired-end Deep Sequencing
Detection of transposable elements by their compositional bias
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
A robust knockoff filter for sparse regression analysis of microbiome compositional data
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data
Same-strand overlapping genes in bacteria: compositional determinants of phase bias
Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements
Why Documenting Every Gender Bias Counts: A Short Commentary
Statistical analysis of high throughput sequencing count data
Statistical analysis of high-throughput sequencing count data
GC-compositional strand bias around transcription start sites in plants and fungi
Reducing bias in RNA sequencing data: a novel approach to compute counts
Compositional Bias in Naïve and Chemically-modified Phage-Displayed Libraries uncovered by Paired-end Deep Sequencing
Detection of transposable elements by their compositional bias
Identifying Important Pairwise Logratios in Compositional Data with Sparse Principal Component Analysis
A robust knockoff filter for sparse regression analysis of microbiome compositional data
A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data
Same-strand overlapping genes in bacteria: compositional determinants of phase bias
Nanopore Sequencing Discloses Compositional Quality of Commercial Probiotic Feed Supplements
Why Documenting Every Gender Bias Counts: A Short Commentary
Statistical analysis of high throughput sequencing count data
Statistical analysis of high-throughput sequencing count data