K. Bach
Molecular Biology · with Baker · 2016–2021
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 34 citations into it; #2,896 of 17,773 by trust here, #7,747 by citations
- Immunology — 14 citations into it
- Cancer Research — 9 citations into it; #198 of 1,780 by trust here, #969 by citations
Whom K. Bach trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts K. Bach overall
- Aaron T. L. Lun
- Christoph Hafemeister
- Rahul Satija
- Saket Kumar Choudhary
- Luke Zappia
- Yunshun Chen
- Geng Chen
- Byungjin Hwang
- Peijie Lin
- Laleh Haghverdi
Papers from K. Bach's perspective
Ordered by how strongly the researchers K. Bach trusts endorse each paper. Same corpus, a different order for every researcher.
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
- Testing significance relative to a fold-change threshold is a TREAT (Bioinform.)
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
- Differential expression analysis for sequence count data (Genome Biology)
- Design and Analysis of Single-Cell Sequencing Experiments. (Cell)
- Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
- Detecting differential usage of exons from RNA-seq data (Genome Research)
Their papers
- Pooling across cells to normalize single-cell RNA sequencing data with many zero counts (2016) — 1,087 citations
- Single-cell multi-omics analysis of the immune response in COVID-19 (2021) — 626 citations