Christina Kendziorski
Molecular Biology · 2001–2016
A researcher in the Science corpus: 6 papers; trusts 39 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 82 citations into it; #2,129 of 17,773 by trust here, #3,866 by citations
- Cancer Research — 16 citations into it; #321 of 1,780 by trust here, #1,052 by citations
- Genetics — 9 citations into it; #2,597 of 6,854 by trust here, #3,435 by citations
- Immunology — 7 citations into it
- Biophysics — 6 citations into it
Whom Christina Kendziorski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bradley Efron
- Simon Anders
- Dominic Grün
- Sandrine Dudoit
- Robert E. Kass
- Bo Li
- Michael A. Newton
- Alicia Oshlack
- Mark D. Robinson
- A. Shalek
Who trusts Christina Kendziorski overall
- Gordon K. Smyth
- Michael A. Newton
- David B. Dahl
- Y. Tai
- Bradley Efron
- Sandrine Dudoit
- Wei Pan
- Tsung-Cheng Chang
- Terence P. Speed
- Geng Chen
Papers from Christina Kendziorski's perspective
Ordered by how strongly the researchers Christina Kendziorski 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
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- 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)
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (Cell Reports)
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
Their papers
- On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data (2001) — 810 citations
- On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles (2003) — 396 citations
- EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments (2013) — 1,216 citations
- Design and computational analysis of single-cell RNA-sequencing experiments (2016) — 433 citations
- Loss of stearoyl–CoA desaturase-1 function protects mice against adiposity (2002) — 1,112 citations
- The Collaborative Cross, a community resource for the genetic analysis of complex traits (2004) — 1,022 citations