Gökçen Eraslan

Molecular Biology · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Gökçen Eraslan trusts overall

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

  1. G. Way
  2. Wei Vivian Li
  3. F. Alexander Wolf
  4. Michael I. Love
  5. Ling Shao
  6. Catalina A. Vallejos
  7. G. Fiquet
  8. Casey S. Greene
  9. Jingyi Jessica Li
  10. Hadas Keren-Shaul

Who trusts Gökçen Eraslan overall

  1. Valentine Svensson
  2. Romain Lopez
  3. Malte D. Luecken
  4. Christoph Hafemeister
  5. Giovanni Palla
  6. Fabian J Theis
  7. Tian Tian
  8. Jeffrey C. Regier
  9. Rahul Satija
  10. Mohammad Lotfollahi

Papers from Gökçen Eraslan's perspective

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

  1. Bayesian approach to single-cell differential expression analysis (Nature Methods)
  2. This PDF file includes: Materials and Methods
  3. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
  4. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
  5. Normalizing single-cell RNA sequencing data: Challenges and opportunities (Nature Methods)
  6. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
  10. A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease. (Cell)

Their papers