【摘 要】
：
N6-methyladenosine(m6A),as one of the most well-studied RNA modifications,has been found to be involved with a wide range of biological processes.Recently,diverse computational methods have been devel
【出 处】
：
第二届中国计算机学会生物信息学会议
论文部分内容阅读
N6-methyladenosine(m6A),as one of the most well-studied RNA modifications,has been found to be involved with a wide range of biological processes.Recently,diverse computational methods have been developed for automated identification of m6A sites within RNAs.To accurately identify m6A sites,one of the major challenges is to extract informative features to describe characteristics of m6A sites.However,existing feature representation methods are usually hand-crafted based,and cannot capture discriminatory information of m6A sites.
其他文献
基因序列的比对、挖掘和功能分析是计算生物学中最基础的科学问题。本次报告围绕这三个方面介绍报告人近年来的部分成果。在序列比对方面，介绍一种基于后缀树和并行加速的多序列比对和进化树构建算法；在基因挖掘方面，介绍本人近年来在microRNA 识别方面的部分工作，主要贡献在于探索高质量反例数据和设计全新的集成分类器；在基因功能分析方面，分别介绍基因-疾病关联分析和基因-作物产量关联分析等工作。
We establish a bioinformatics platform system(http://lilab.sysu.edu.cn/Tools/)for omics data analysis at Sun Yat-sen University,which currently offers applications of sequence similarity search(SSS),g
生物序列到其结构和功能的映射关系与语言中词到词义的映射关系类似。在语言学中，由字词通过语法组成有意义的句子。在生物学中，氨基酸或核酸组成具有特定结构和功能的生物大分子序列。
High-throughput technologies produce large amounts of data,such as levels of gene expression or drug responses.Identification of gene-drug interaction patterns among the expressing data is important t
微生物组通常包含几十到数千种不同的微生物，这些物种相互协作来适应环境的变化来完成生命的进化；同时它们的生命活动也对其所处的微环境产生了长期而深刻的影响。随着人类对于微生物了解的深入，微生物群落基础研究及其在健康和环境等领域的应用研究日益重要。
In this talk,the following effective computational models developed by Chen Group for the Bioinformatics research will be introduced: 1)PBMDA(PLOS Computational Biology,2017,13(3): e1005455,cited 11 t
In this talk,we will briefly introduce sevearl cases recently developed in our research group to use artificial intelligence and machine learning models for the analysis of pharmaceutical data and gen
Nonnegative matrix factorization(NMF)is a powerful technique for dimension reduction and pattern recognition.In this talk,I will survey the recent applications of NMF and its variants joint NMF in bio
Driver mutation provides fitness advantage to cancer cells,while the accumulation of driver mutations increases the fitness of cancer cells and accelerates cancer progression.The work seeks to extract
Motivation: The growth and survival of cancer cells are greatly affected by their surrounding microenvironment.To understand the regulation under the influence of anti-cancer drugs and the synergistic