目的探究肝癌患者的差异基因表达量与预后的相关性,以及差异基因在多种癌症的调控作用,并寻找潜在的治疗靶点以及对应中药,为临床中药的使用、中医药组方及加减用药提供依据。方法从TCGA数据库下载肿瘤患者的转录组数据以及相应临床数据...目的探究肝癌患者的差异基因表达量与预后的相关性,以及差异基因在多种癌症的调控作用,并寻找潜在的治疗靶点以及对应中药,为临床中药的使用、中医药组方及加减用药提供依据。方法从TCGA数据库下载肿瘤患者的转录组数据以及相应临床数据,使用R语言的edgeR包分析得出差异表达基因,并筛选、分析关键基因在泛癌的表达量及共表达情况;进一步筛选得到核心基因,研究其在泛癌中具体肿瘤的表达情况,以及肝癌临床相关性分析,并将核心基因提交至TIMER、THPA数据库,研究免疫细胞相关性和病理学情况;最后通过Coremine数据库查找核心基因对应中药,使用TCMSP、BATMAN-TCM数据库查找中药有效成分,利用Cytoscape软件制作药物-核心基因网络图,并进行京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果共筛选出10个关键基因,选取其中5个核心基因CCNB1、TOP2A、CCNA2、CDK1、CDC20,进行后续分析得出其与肝癌的预后生存呈负相关,与肝癌的免疫细胞呈正相关,并得到基因过表达病理学图片。其对应中药为丹参、枳实、枳壳、人参叶、人参芦、甘草、人参、蜂蜜。KEGG富集分析显示中药除调控核心基因外仍通过多靶点起作用。结论通过生物信息学技术分析得到肝癌核心基因及相关信号通路与治疗靶点,并得到调控中药名称及其有效成分。为治疗肝癌以及其他癌症的中药复方研发提供思路。展开更多
For the poor adaptability of the original repeating pattern, an improved music separation method of multi-repeating structure of Mel cepstrum coefficient （MFCC） is proposed. Firstly, the MFCC coefficient matrix （39...For the poor adaptability of the original repeating pattern, an improved music separation method of multi-repeating structure of Mel cepstrum coefficient （MFCC） is proposed. Firstly, the MFCC coefficient matrix （39-dimensional data） of the music signal was extracted. Then the cosine characteristic was applied to the count of similarity matrix of MFCC, and the fragments with consistent similarity are putted together. Next different repeating patterns are built for different groups. Thereby the spectrums of the background music and vocal were separated combined with ideal binary masking （IBM）, and the corresponding time domain signals were obtained by inverse Fourier transform. Fnally, the improved method was tested on the music database of different types and length, and the separation results were compared with repeating method of Rafii and the non-negative matrix factorization based on flexible framework method of Ozerov. The experimental results showed that the separation performance of improved method was improved about 3 dB, and the performance of music with melody changed larger was significantly improved. Experiments verified that the improved method was an effective music separation algorithm and more stability.展开更多
文摘目的探究肝癌患者的差异基因表达量与预后的相关性,以及差异基因在多种癌症的调控作用,并寻找潜在的治疗靶点以及对应中药,为临床中药的使用、中医药组方及加减用药提供依据。方法从TCGA数据库下载肿瘤患者的转录组数据以及相应临床数据,使用R语言的edgeR包分析得出差异表达基因,并筛选、分析关键基因在泛癌的表达量及共表达情况;进一步筛选得到核心基因,研究其在泛癌中具体肿瘤的表达情况,以及肝癌临床相关性分析,并将核心基因提交至TIMER、THPA数据库,研究免疫细胞相关性和病理学情况;最后通过Coremine数据库查找核心基因对应中药,使用TCMSP、BATMAN-TCM数据库查找中药有效成分,利用Cytoscape软件制作药物-核心基因网络图,并进行京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果共筛选出10个关键基因,选取其中5个核心基因CCNB1、TOP2A、CCNA2、CDK1、CDC20,进行后续分析得出其与肝癌的预后生存呈负相关,与肝癌的免疫细胞呈正相关,并得到基因过表达病理学图片。其对应中药为丹参、枳实、枳壳、人参叶、人参芦、甘草、人参、蜂蜜。KEGG富集分析显示中药除调控核心基因外仍通过多靶点起作用。结论通过生物信息学技术分析得到肝癌核心基因及相关信号通路与治疗靶点,并得到调控中药名称及其有效成分。为治疗肝癌以及其他癌症的中药复方研发提供思路。
基金supported by the National Natural Science Foundation of China(61371164,61275099,61102131)the Project of Key Laboratory of Signal and Information Processing of Chongqing(CSTC2009CA2003)+3 种基金the Chongqing Distinguished Youth Fundation(CSTC2011jjjq40002)the Natural Science Foundation of Chongqing(CSTC2012JJA40008)the Research Project of Chongqing Educational Commission(KJ120525,KJ130524)Graduate Research and Innovation Projects of Chongqing(CYS14140)
文摘For the poor adaptability of the original repeating pattern, an improved music separation method of multi-repeating structure of Mel cepstrum coefficient （MFCC） is proposed. Firstly, the MFCC coefficient matrix （39-dimensional data） of the music signal was extracted. Then the cosine characteristic was applied to the count of similarity matrix of MFCC, and the fragments with consistent similarity are putted together. Next different repeating patterns are built for different groups. Thereby the spectrums of the background music and vocal were separated combined with ideal binary masking （IBM）, and the corresponding time domain signals were obtained by inverse Fourier transform. Fnally, the improved method was tested on the music database of different types and length, and the separation results were compared with repeating method of Rafii and the non-negative matrix factorization based on flexible framework method of Ozerov. The experimental results showed that the separation performance of improved method was improved about 3 dB, and the performance of music with melody changed larger was significantly improved. Experiments verified that the improved method was an effective music separation algorithm and more stability.
