Pathway Text Mining is a computational approach that identifies, extracts, and structures biological pathway-related information from unstructured text, distinguishing itself from general text mining by its specific focus on modeling molecular interactions, signaling events, and metabolic processes described in scientific literature.
65
Publications
3.1K
Citations
284
Authors
136
Institutions
Publications per year
2017–2026
20
Parents
Publications
65
Discovering patterns to extract protein–protein interactions from full texts
Minlie Huang, Xiaoyan Zhu, Yu Hao et al. · Bioinformatics · 2004 · 238 citations · Full text
Mining Biological Pathways Using WikiPathways Web Services
Thomas Kelder, Alexander R. Pico, Kristina Hanspers et al. · PLoS ONE · 2009 · 124 citations · Full text
1–5 of 65
Authors
284
- TO
4
h-index
- JT
4
h-index
- SA
4
h-index
- RB
3
h-index
- KA
3
h-index
1–5 of 284
Institutions
136
University of Manchester
Manchester, United Kingdom
8 h-index
28 publications
921 citations
Inserm
Paris, France
4 h-index
15 publications
912 citations
The University of Tokyo
Tokyo, Japan
3 h-index
13 publications
676 citations
Université Paris Cité
Paris, France
3 h-index
15 publications
911 citations
Institute of Cytology and Genetics
Novosibirsk, Russia
2 h-index
7 publications
427 citations
Pfizer (United States)
New York, United States
2 h-index
10 publications
265 citations
Rigel (United States)
San Francisco, United States
2 h-index
5 publications
542 citations
University of Waterloo
Waterloo, Canada
2 h-index
2 publications
260 citations
1–8 of 136
Venues
- Bioinformatics
9 publications · 1.1K citations
9
h-index
- BMC Bioinformatics
9 publications · 397 citations
9
h-index
- Nucleic Acids Research
4 publications · 117 citations
4
h-index
- BMC Systems Biology
4 publications · 141 citations
4
h-index
- Database
4 publications · 133 citations
4
h-index
1–5