下面是BIC-seq2的基本使用方法: 1. 准备输入数据:BIC-seq2的输入数据包括比对后的二进制比对文件(BAM文件)、基因组参考序列文件和一组已知的拷贝数变异区域列表(BED格式)。 2. 安装并配置环境:BIC-seq2的运行需要基于R软件,并且需要安装一些依赖库和工具包,如Bioconductor等。你需要根据所使用的操作系统和版本,下...
BIC-Seq2 details: http://compbio.med.harvard.edu/BIC-seq/ BICSEQ2 V1 Ding Lab github project: https://github.com/ding-lab/BICSEQ2 Background reading on creating mappability track: https://wiki.bits.vib.be/index.php/Create_a_mappability_track Note that there seems to be newer version ...
names(models_to_evaluate) <- paste0("IBCF_k_", vector_k) n_recommendations <- c(1, 5, seq(10, 100, 10)) list_results <- evaluate(x = eval_set, method = models_to_evaluate, n = n_recommendations) par(mar=c(1.1 ,1.1, 1.1, 1.1)) plot(list_results, annotate = 1, legend =...
Integration of the MERFISH and scRNA-seq data further allows the imputation of gene-expression profiles at the whole transcriptomic scale (more than 20,000 genes) for every MERFISH-imaged cell across the entire brain. The high-resolution spatial map of cells, with a transcriptome-wide expression ...
Lasso算法与AIC、bic Lasso算法与AIC、bic Lasso算法与AIC、BIC、Stepwise算法⽐较 ⼀、变量选择 回归分析中如果有很多个变量，但不进⾏变量选择，会使回归系数的精度下降，模型的准确率降低，还会造成统计研究的成本较⼤。所以变量选择在回归分析中是⼀个重点问题。在回归⽅程中，预测精度和可解释性是评估...
van den Berg A, Kroesen BJ, Kooistra K, de Jong D, Briggs J, Blokzijl T, Jacobs S, Kluiver J, Diepstra A, Maggio E, Poppema S (2003) High expression of B-cell receptor inducible gene BIC in all subtypes of Hodgkin lymphoma. Genes Chromosomes Cancer 37:20–28. : 10.1002/gcc....
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bic在python应用,#bif=dir(__builtins__)#print(len(bif))#152个内置函数#35个常用内置函数#1.abs():求绝对值(模)a=-1b=3+4jprint(abs(a))print(abs(b))#2.bin():把整数转为二进制串表示形式c=16print(bin(c))#3.complex(real,[imag]):返回复数,re
lamida<-seq(0.2,0.5,0.005) #对lam进行取值循环 Bet<-matrix(rep(0,366),6,61) #把大矩阵Bet用来装每个lamida生成的beta G<-matrix(rep(0,61),1,61) #用G装每个lamida生成的比较式,用于判断大小 for (k in 1:61 ) #对不同的lamida分别进行求相应beta的值 { lam<-lamida[k] beta0<-(solve(t...
Salk生物研究所的Edward M. Callaway团队在Nature发文,使用epi-retro-seq将单细胞表观基因组和细胞类型与整个小鼠大脑中来自32个不同区域的33034个神经元的长距离投射联系起来,提供了一个全面的926个神经元对每一个源投射到每一个目标的区别性的统计比较,并将这个数据集整合到更大的BICCN图谱中。