David Krane

Molecular Biology · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Krane trusts overall

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

  1. Salvatore Torquato
  2. Albert-László Barabási
  3. Nicholas McGranahan
  4. Safiye Celik
  5. Ilya Shmulevich

Papers from David Krane's perspective

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

  1. Domain randomization for transferring deep neural networks from simulation to the real world
  2. Cancer Genome Landscapes (Science)
  3. Learning Physical Intuition of Block Towers by Example
  4. Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. (Cancer Cell)
  5. Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks (Bioinform.)
  6. Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
  7. Kernel Methods in Computational Biology
  8. Introduction to linear optimization
  9. Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM (Bioinform.)
  10. New Approaches in Turbulence and Transition Modeling Using Data-driven Techniques

Their papers