Literature DB >> 26178259

DARPA's Big Mechanism program.

Paul R Cohen1.   

Abstract

Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The current domain of the program is cell signalling associated with Ras-driven cancers.

Entities:  

Mesh:

Year:  2015        PMID: 26178259     DOI: 10.1088/1478-3975/12/4/045008

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  13 in total

1.  Mining the literature for genes associated with placenta-mediated maternal diseases.

Authors:  Laritza M Rodriguez; Stephanie M Morrison; Kathleen Greenberg; Dina Demner Fushman
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  NDEx 2.0: A Clearinghouse for Research on Cancer Pathways.

Authors:  Dexter Pratt; Jing Chen; Rudolf Pillich; Vladimir Rynkov; Aaron Gary; Barry Demchak; Trey Ideker
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

3.  Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing.

Authors:  Lucreţia Udrescu; Laura Sbârcea; Alexandru Topîrceanu; Alexandru Iovanovici; Ludovic Kurunczi; Paul Bogdan; Mihai Udrescu
Journal:  Sci Rep       Date:  2016-09-07       Impact factor: 4.379

4.  Model selection for dynamical systems via sparse regression and information criteria.

Authors:  N M Mangan; J N Kutz; S L Brunton; J L Proctor
Journal:  Proc Math Phys Eng Sci       Date:  2017-08-30       Impact factor: 2.704

5.  Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience.

Authors:  Nicholas J Matiasz; Justin Wood; Wei Wang; Alcino J Silva; William Hsu
Journal:  Front Neuroinform       Date:  2017-02-13       Impact factor: 4.081

6.  Using uncertainty to link and rank evidence from biomedical literature for model curation.

Authors:  Chrysoula Zerva; Riza Batista-Navarro; Philip Day; Sophia Ananiadou
Journal:  Bioinformatics       Date:  2017-12-01       Impact factor: 6.937

7.  The Kappa platform for rule-based modeling.

Authors:  Pierre Boutillier; Mutaamba Maasha; Xing Li; Héctor F Medina-Abarca; Jean Krivine; Jérôme Feret; Ioana Cristescu; Angus G Forbes; Walter Fontana
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

8.  Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction.

Authors:  Sergey Feldman; Waleed Ammar; Kyle Lo; Elly Trepman; Madeleine van Zuylen; Oren Etzioni
Journal:  JAMA Netw Open       Date:  2019-07-03

9.  Investigating core genetic-and-epigenetic cell cycle networks for stemness and carcinogenic mechanisms, and cancer drug design using big database mining and genome-wide next-generation sequencing data.

Authors:  Cheng-Wei Li; Bor-Sen Chen
Journal:  Cell Cycle       Date:  2016-06-13       Impact factor: 4.534

10.  Broad-coverage biomedical relation extraction with SemRep.

Authors:  Halil Kilicoglu; Graciela Rosemblat; Marcelo Fiszman; Dongwook Shin
Journal:  BMC Bioinformatics       Date:  2020-05-14       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.