On the public citation graph

scBASE: A Bayesian mixture model for the analysis of allelic expression in single cells

https://doi.org/10.1101/383224
0 signed · 29 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1873-3468.12684openalex-snapshot
Computational approaches for interpreting sc RNA ‐seq data
inferredcites →https://doi.org/10.1016/j.ajhg.2017.01.028openalex-snapshot
Detection of Imprinted Genes by Single-Cell Allele-Specific Gene Expression
inferredcites →https://doi.org/10.1016/j.cub.2008.09.044openalex-snapshot
Global Survey of Genomic Imprinting by Transcriptome Sequencing
inferredcites →https://doi.org/10.1017/cbo9780511642401.002openalex-snapshot
Algebraic and geometric methods in statistics
inferredcites →https://doi.org/10.1038/nature10413openalex-snapshot
Mouse genomic variation and its effect on phenotypes and gene regulation
inferredcites →https://doi.org/10.1038/nature24265openalex-snapshot
Landscape of X chromosome inactivation across human tissues
inferredcites →https://doi.org/10.1038/nbt.3519openalex-snapshot
Near-optimal probabilistic RNA-seq quantification
inferredcites →https://doi.org/10.1038/nbt.4096openalex-snapshot
Integrating single-cell transcriptomic data across different conditions, technologies, and species
inferredcites →https://doi.org/10.1038/ncomms9687openalex-snapshot
Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression
inferredcites →https://doi.org/10.1038/ng.3222openalex-snapshot
Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance
inferredcites →https://doi.org/10.1038/ng.3678openalex-snapshot
Analysis of allelic expression patterns in clonal somatic cells by single-cell RNA–seq
inferredcites →https://doi.org/10.1038/nmeth.2645openalex-snapshot
Accounting for technical noise in single-cell RNA-seq experiments
inferredcites →https://doi.org/10.1038/nmeth.4150openalex-snapshot
Single-cell mRNA quantification and differential analysis with Census
inferredcites →https://doi.org/10.1038/nrg3833openalex-snapshot
Computational and analytical challenges in single-cell transcriptomics
inferredcites →https://doi.org/10.1038/nrg3888openalex-snapshot
Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation
inferredcites →https://doi.org/10.1038/s41586-018-0836-1openalex-snapshot
Genomic encoding of transcriptional burst kinetics
inferredcites →https://doi.org/10.1038/s41592-018-0033-zopenalex-snapshot
SAVER: gene expression recovery for single-cell RNA sequencing
inferredcites →https://doi.org/10.1073/pnas.1806811115openalex-snapshot
Extensive cellular heterogeneity of X inactivation revealed by single-cell allele-specific expression in human fibroblasts
inferredcites →https://doi.org/10.1093/bioinformatics/btw484openalex-snapshot
scphaser: haplotype inference using single-cell RNA-seq data
inferredcites →https://doi.org/10.1093/bioinformatics/bty078openalex-snapshot
Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression
inferredcites →https://doi.org/10.1101/gr.201954.115openalex-snapshot
Single-cell analyses of X Chromosome inactivation dynamics and pluripotency during differentiation
inferredcites →https://doi.org/10.1126/science.1245316openalex-snapshot
Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
inferredcites →https://doi.org/10.1186/1471-2105-12-323openalex-snapshot
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
inferredcites →https://doi.org/10.1186/s13059-016-0927-yopenalex-snapshot
Design and computational analysis of single-cell RNA-sequencing experiments
inferredcites →https://doi.org/10.1186/s13059-016-0960-xopenalex-snapshot
Single-cell genomics: coming of age
inferredcites →https://doi.org/10.1186/s13059-017-1200-8openalex-snapshot
SCALE: modeling allele-specific gene expression by single-cell RNA sequencing
inferredcites →https://doi.org/10.18637/jss.v076.i01openalex-snapshot
Stan : A Probabilistic Programming Language
inferredcites →https://doi.org/10.2307/2284137openalex-snapshot
Proportions with Extraneous Variance: Single and Independent Sample
inferredcites →https://doi.org/10.5281/zenodo.594435openalex-snapshot
marcharper/python-ternary: 1.0.1 Release
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.