Work

Natural language processing: put your model where your mouth is

Year: 2017

Type: article

Abstract: Molecular mechanisms are often described using “word models”—phrases intended to capture the interactions in a biological process. In their recent work, Sorger and colleagues (Gyori et al , 2017) provide a framework for converting word models into computational structures that can be simulated and compared to experimental data. By codifying word‐based descriptions of molecular phenomena, scientific communities can better evaluate, compare, and share mechanistic insights.

Source: Molecular Systems Biology

DOI: 10.15252/msb.20178077

Authors: Rachel A Haggerty, Jeremy E Purvis

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $7,990

Funder: Eunice Kennedy Shriver National Institute of Child Health and Human Development