Peijie Lin

Molecular Biology · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Peijie Lin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Emma Pierson
  2. Chen Xu
  3. Peter V. Kharchenko
  4. Aaron T. L. Lun
  5. Eric R. Ziegel
  6. Houtao Deng
  7. Antonio Scialdone
  8. Florian Buettner
  9. Dominic Grün
  10. Andy Liaw

Who trusts Peijie Lin overall

  1. Wei Vivian Li
  2. Luke Zappia
  3. Tian Tian
  4. Il-Youp Kwak
  5. Jingyi Jessica Li
  6. Belinda Phipson
  7. Ji Wan
  8. Wuming Gong

Papers from Peijie Lin's perspective

Ordered by how strongly the researchers Peijie Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  2. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (Nature Biotechnology)
  3. Visualizing Data using t-SNE
  4. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
  5. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
  6. A survey of human brain transcriptome diversity at the single cell level (Proceedings of the National Academy of Sciences of the United States of America)
  7. ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis (Genome Biology)
  8. Identification of cell types from single-cell transcriptomes using a novel clustering method (Bioinform.)
  9. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
  10. Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells

Their papers