【摘要】：疾病基因預(yù)測是揭示疾病作用機理、系統(tǒng)研究復(fù)雜疾病的關(guān)鍵環(huán)節(jié)。高通量生物實驗技術(shù)的成熟,促進了基于分子網(wǎng)絡(luò)的疾病基因預(yù)測方法的發(fā)展�；�"連接有罪"的生物學(xué)假設(shè),疾病基因預(yù)測算法在生物網(wǎng)絡(luò)中衡量候選基因與已知疾病基因的鄰近性或相似性,以預(yù)測潛在的致病基因。該文將疾病基因預(yù)測方法歸納為3種:基于已知疾病基因信息的預(yù)測方法、融合表型相似性信息的預(yù)測方法以及融合多結(jié)果的預(yù)測方法,并對這3種方法的研究現(xiàn)狀進行了綜述,指出了現(xiàn)有研究成果的不足以及未來的研究方向。
[Abstract]:Disease gene prediction is the key to reveal the mechanism of disease and to study complex diseases systematically. The maturity of high throughput biological experiment technology promotes the development of disease gene prediction method based on molecular network. Based on the biological hypothesis of "linking guilt", disease gene prediction algorithm measures the proximity or similarity between candidate genes and known disease genes in biological networks to predict potential pathogenic genes. In this paper, there are three methods for predicting disease genes: one based on known disease gene information, one based on fusion of phenotypic similarity information, and one based on fusion of multiple results. The present research situation of these three methods is summarized, and the deficiency of the existing research results and the future research direction are pointed out.
【作者單位】： 陸軍勤務(wù)學(xué)院數(shù)學(xué)教研室;
【基金】：國家自然科學(xué)基金(61372194,81260672) 重慶市研究生教改項目(yjg152017)
【分類號】：R440

【相似文獻】

相關(guān)期刊論文 前2條

1 龍偉;周艷紅;;基于序列特征預(yù)測先天性糖基化紊亂疾病基因[J];華中科技大學(xué)學(xué)報(自然科學(xué)版);2009年08期

2 李冬明;;關(guān)于心臟疾病基因檢測的最新動態(tài)[J];心血管病防治知識(科普版);2013年03期

相關(guān)碩士學(xué)位論文 前2條

1 袁杰;基于模塊歸一化及自適應(yīng)跳轉(zhuǎn)隨機游走的疾病基因預(yù)測[D];華中師范大學(xué);2016年

2 李倩;與疾病相關(guān)的差異表達基因檢測[D];西安電子科技大學(xué);2010年

，

本文編號：2152004