M. Chaffin

Genetics · Nature · 2017–2023

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Chaffin trusts overall

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

  1. Frank Dudbridge
  2. Romain Lopez
  3. Christopher C. Chang
  4. Adam Paszke

Papers from M. Chaffin's perspective

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

  1. Automatic differentiation in PyTorch
  2. Massively parallel digital transcriptional profiling of single cells
  3. Large-scale simultaneous measurement of epitopes and transcriptomes in single cells
  4. Integrating single-cell transcriptomic data across different conditions, technologies, and species
  5. Comprehensive integration of single-cell data (bioRxiv)
  6. AUTO-ENCODING VARIATIONAL BAYES
  7. Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing
  8. Single-cell RNA-seq denoising using a deep count autoencoder (Nature Communications)
  9. SCANPY: large-scale single-cell gene expression data analysis
  10. PyTorch: An Imperative Style, High-Performance Deep Learning Library

Their papers