"Stochastic Sampling of Structural Contexts Improves the Scalability and ..."

Roman Sarrazin-Gendron et al. (2020)

> Home

Details and statistics

DOI: 10.1007/978-3-030-45257-5_12

access: closed

type: Conference or Workshop Paper

metadata version: 2022-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/recomb/Sarrazin-Gendron20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/recomb/Sarrazin-Gendron20
Roman Sarrazin-Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos G. Oliver, Yann Ponty, Jérôme Waldispühl:
Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification. RECOMB 2020: 186-201

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.