Text mining: Generating hypotheses from MEDLINE

By Padmini Srinivasan. J. Assoc. Inf. Sci. Technol., 2004

320 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/475f3bfbe3620f041051eda6cebdef5cf01ec41d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Amit P. Sheth
2. Krishnaprasad Thirunarayan
3. William R. Hersh
4. Thomas C. Rindflesch
5. Ramakanth Kavuluru
6. Olivier Bodenreider
7. Delroy Cameron
8. Ozlem Uzuner

In Molecular Biology

1. Amit P. Sheth
2. William R. Hersh
3. Thomas C. Rindflesch
4. Ramakanth Kavuluru
5. Olivier Bodenreider
6. Krishnaprasad Thirunarayan
7. Delroy Cameron
8. Ozlem Uzuner

Citations in the corpus

• Context-Driven Automatic Subgraph Creation for Literature-Based Discovery (2015, methodology): “We use association rarity to indicate interestingness, similar to existing research [45,36].”
• Information Retrieval: A Biomedical and Health Perspective (2020, background): “Gene sequencing data, especially those which are older, may be inaccurate and undermine experiments [301].”