期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Application of computational methods in genetic study ofinflammatory bowel disease 被引量:3
1
作者 Jin Li Zhi Wei Hakon Hakonarson 《World Journal of Gastroenterology》 SCIE CAS 2016年第3期949-960,共12页
Genetic factors play an important role in the etiology of inflammatory bowel disease(IBD). The launch of genome-wide association study(GWAS) represents a landmark in the genetic study of human complex disease. Concurr... Genetic factors play an important role in the etiology of inflammatory bowel disease(IBD). The launch of genome-wide association study(GWAS) represents a landmark in the genetic study of human complex disease. Concurrently, computational methods have undergone rapid development during the past a few years, which led to the identification of numerous disease susceptibility loci. IBD is one of the successful examples of GWAS and related analyses. A total of 163 genetic loci and multiple signaling pathways have been identified to be associated with IBD. Pleiotropic effects were found for many of these loci; and risk prediction models were built based on a broad spectrum of genetic variants. Important gene-gene, gene-environment interactions and key contributions of gut microbiome are being discovered. Here we will review the different types of analyses that have been applied to IBD genetic study, discuss the computational methods for each type of analysis, and summarize the discoveries made in IBD research with the application of these methods. 展开更多
关键词 Inflammatory BOWEL disease computationalmethods GENOME-WIDE association study Pathwayanalysis Gene-gene INTERACTION Gene-environmentinteraction PLEIOTROPY Risk prediction
暂未订购
Message from Editors-in-Chief:Advancing Research Through AI,Data,and Research Resources
2
作者 James Evans Xiaoming Fu Jar-Der Luo 《Journal of Social Computing》 2025年第1期I0001-I0002,共2页
Dear readers,Welcome to the first issue of volume 6 of the Journal of Social Computing!We present six articles that highlight the interplay between artificial intelligence,computational modeling,and research resources... Dear readers,Welcome to the first issue of volume 6 of the Journal of Social Computing!We present six articles that highlight the interplay between artificial intelligence,computational modeling,and research resources in addressing both methodological challenges and real-world societal issues.These papers are grouped into three thematic clusters:(1)AI and computational methods for social and economic research,(2)data-driven insights into real-world social challenges,and(3)research resources for scientific and policy advancements. 展开更多
关键词 economicresearch socialresearch data driven computationalmethods research resources artificial intelligencecomputational modelingand ARTIFICIALINTELLIGENCE computational methods
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部