You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This gist includes the topical descriptor ontology from MeSH (Medical Subject Headings).
Here is a link that loads the data from this gist and prepopulates the cosmograph configuration
Screenshot
The visualization will look something like:
![cosmograph of mesh topical descriptors with radial
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
DISEASES 2.0: a weekly updated database of disease–gene associations from text mining and data integration
Dhouha Grissa, Alexander Junge, Tudor I Oprea, Lars Juhl Jensen bioRxiv (2021-12-09) https://doi.org/gn3fj4
DOI: 10.1101/2021.12.07.471296
The webapp and latest downloads are available at . Version 1 is described in the 2015 publication.
Metagraph of the Benevolant AI knowledge graph from Paliwal et al 2020
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Rigor and Transparency Index, a new metric of quality for assessing biological and medical science methods
Joe Menke, Martijn Roelandse, Burak Ozyurt, Maryann Martone, Anita Bandrowski bioRxiv (2020-01-18) https://doi.org/dkg6
DOI: 10.1101/2020.01.15.908111
The study introduces an automated method called SciScore to detect whether an article's methods section mentions any of 15 categories, such as a consent statement or an organism. These metrics are combined to create a single score for each article called the "Rigor and Transparency Index". The authors applied the method to the PubMed Central Open Access subset with over 1 million articles to identify trends in the level of details provided by method sections.
Analytical derivation of the prior XSwap probability of a hetnet edge
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters