Bruce J. Wittmann

Molecular Biology · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Bruce J. Wittmann trusts overall

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

  1. UniProt Consortium

Who trusts Bruce J. Wittmann overall

  1. Kevin Kaichuang Yang

Papers from Bruce J. Wittmann's perspective

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

  1. Exploring protein fitness landscapes by directed evolution
  2. Deep generative models of genetic variation capture the effects of mutations
  3. Evaluating Protein Transfer Learning with TAPE
  4. Scikit-learn: Machine Learning in Python
  5. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
  6. Highly accurate protein structure prediction with AlphaFold
  7. Learning protein sequence embeddings using information from structure
  8. Machine learning - a probabilistic perspective
  9. Clustering huge protein sequence sets in linear time
  10. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Their papers