New advances in the automation of context-aware information selection and guided model assembly

Autor:	Ahmed, Yasmine, Butchy, Adam A, Sayed, Khaled, Telmer, Cheryl, Miskov-Zivanov, Natasa
Rok vydání:	2021
Předmět:	Quantitative Biology - Molecular Networks
Druh dokumentu:	Working Paper
Popis:	The automated assembly and extension of dynamic network models using information extracted from literature are challenging due to the amount and inconsistency in published literature. Recently, efforts have been made to automatically and efficiently assemble the information extracted from literature into models. In this review, we summarize the basic concept, performance, advantages, and limitations of five automated extension methods. Each method was tested for its ability to reconstruct a model of T-cell differentiation as compared against a number of predefined system properties. Comment: Accepted at the 13th International Workshop on Bio-Design Automation (IWBDA21)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.10841 Zobrazit plný text záznamu View this record from Arxiv