activity
20132026
most citedCrowdsourcing for Bioinformatics

153 citations · 203 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol

Peter W. Rose, Benjamin M. Good, Amanda M. Saravia-Butler +7

MCP Server Proto-OKN (mcp-proto-okn) is a Python-based Model Context Protocol server that enables AI assistants to discover, inspect, query and integrate scientific knowledge graph…

stat.AP2015★ 1 cited

Branch: An interactive, web-based tool for testing hypotheses and developing predictive models

Karthik Gangavarapu, Vyshakh Babji, Tobias Meißner +2

Branch is a web application that provides users with no programming with the ability to interact directly with large biomedical datasets. The interaction is mediated through a coll…

cs.CL2015★ 4 cited

Exposing ambiguities in a relation-extraction gold standard with crowdsourcing

Tong Shu Li, Benjamin M. Good, Andrew I. Su

Semantic relation extraction is one of the frontiers of biomedical natural language processing research. Gold standards are key tools for advancing this research. It is challenging…

q-bio.QM2015

OntoLoki: an automatic, instance-based method for the evaluation of biological ontologies on the Semantic Web

Benjamin M. Good, Gavin Ha, Chi K. Ho +1

The delineation of logical definitions for each class in an ontology and the consistent application of these definitions to the assignment of instances to classes are important cri…

cs.CL2014

Microtask crowdsourcing for disease mention annotation in PubMed abstracts

Benjamin M Good, Max Nanis, Andrew I. Su

Identifying concepts and relationships in biomedical text enables knowledge to be applied in computational analyses. Many biological natural language process (BioNLP) projects atte…

q-bio.GN2014★ 45 cited

The Cure: Making a game of gene selection for breast cancer survival prediction

Benjamin M. Good, Salvatore Loguercio, Obi L. Griffith +3

Motivation: Molecular signatures for predicting breast cancer prognosis could greatly improve care through personalization of treatment. Computational analyses of genome-wide expre…