David Craft
Molecular Biology · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 56 citations into it
- Cancer Research — 37 citations into it
- Oncology — 8 citations into it
Whom David Craft trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David Craft's perspective
Ordered by how strongly the researchers David Craft trusts endorse each paper. Same corpus, a different order for every researcher.
- Cancer Genome Landscapes (Science)
- Domain randomization for transferring deep neural networks from simulation to the real world
- Learning Physical Intuition of Block Towers by Example
- Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. (Cancer Cell)
- Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks (Bioinform.)
- Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
- Landscape of somatic mutations in 560 breast cancer whole genome sequences (Nature)
- Cancer Genome Interpreter annotates the biological and clinical relevance of tumor alterations (Genome Medicine)
- Kernel Methods in Computational Biology
- Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM (Bioinform.)
Their papers
- Simulation-assisted machine learning (2018) — 74 citations
- Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (2020) — 508 citations
- The value of prior knowledge in machine learning of complex network systems (2016) — 24 citations