H. Schiller

Molecular Biology · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Schiller trusts

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

  1. Fabian J Theis (in Molecular Biology)
  2. F. Alexander Wolf (in Molecular Biology)

Papers from H. Schiller's perspective

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

  1. Fast unfolding of communities in large networks
  2. Integrating single-cell transcriptomic data across different conditions, technologies, and species
  3. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  4. Spatial reconstruction of single-cell gene expression
  5. Scikit-learn: Machine Learning in Python
  6. Slide-seq: A Scalable Technology for Measuring Genome-Wide Expression at High Spatial Resolution (Science)
  7. Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
  8. Multiplexed quantification of proteins and transcripts in single cells (Nature Biotechnology)
  9. Robust decomposition of cell type mixtures in spatial transcriptomics (Nature Biotechnology)
  10. Large-scale simultaneous measurement of epitopes and transcriptomes in single cells

Their papers