Philipp Angerer

Molecular Biology · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Angerer trusts overall

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

  1. Wes McKinney
  2. Gábor Csárdi
  3. Aaron T. L. Lun
  4. Ronald R. Coifman
  5. Peter V. Kharchenko
  6. Caleb Weinreb
  7. Rahul Satija
  8. Allon Wagner
  9. Florian Buettner
  10. Aric A. Hagberg

Who trusts Philipp Angerer overall

  1. Brian L. Hie
  2. F. Alexander Wolf
  3. Malte D. Luecken
  4. Fabian J Theis
  5. Jiarui Ding
  6. Matthew D. Young
  7. Saket Kumar Choudhary
  8. Zixuan Cang
  9. Yuqi Tan
  10. Volker Bergen

Papers from Philipp Angerer's perspective

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

  1. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
  2. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  3. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (Nature Biotechnology)
  4. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
  5. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
  6. Massively parallel digital transcriptional profiling of single cells
  7. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data (Genome Biology)
  8. Scikit-learn: Machine Learning in Python
  9. Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.
  10. Spatial reconstruction of single-cell gene expression

Their papers