Rhonda L. Bacher
Molecular Biology · 2016
A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 54 citations into it; #4,575 of 17,773 by trust here, #12,227 by citations
- Cancer Research — 12 citations into it; #322 of 1,780 by trust here, #1,399 by citations
- Immunology — 7 citations into it
- Biophysics — 6 citations into it
- Genetics — 6 citations into it
Whom Rhonda L. Bacher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon Anders
- Dominic Grün
- Bo Li
- A. Shalek
- Bin Zhang
- Chen Xu
- Emma Pierson
- Alicia Oshlack
- Oliver Stegle
- Peter V. Kharchenko
Who trusts Rhonda L. Bacher overall
- Geng Chen
- Thalia E. Chan
- A. Haque
- Sipko van Dam
- Valentine Svensson
- Baitang Ning
- M. P. Stumpf
- Jessica A. Engel
- Urmo Võsa
- Tieliu Shi
Papers from Rhonda L. Bacher's perspective
Ordered by how strongly the researchers Rhonda L. Bacher trusts endorse each paper. Same corpus, a different order for every researcher.
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (Cell Reports)
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (Nature Biotechnology)
Their papers
- Design and computational analysis of single-cell RNA-sequencing experiments (2016) — 433 citations