Tasnim M, Ma SN, Yang EW, Jiang T, Li W. Accurate inference of isoforms from multiple sample RNA-Seq data. BMC Genomics. 2015;16 Suppl 2:S15.Tasnim, M., Ma, S., Yang, E.-W., Jiang, T. & Li, W. Accurate inference of isoforms from multiple sample RNA-Seq data. BMC Genomics...
Single-cell RNA-SeqHierarchical clusteringFeature selectionWe present FeatClust, a software tool for clustering small sample size single-cell RNA-Seq datasets. The FeatClust approach is based on feature selection. It divides features into several groups by performing agglomerative hierarchical clustering ...
以下附上网站链接: https://treehousegenomics.soe.ucsc.edu/public-data/#datasets 题外话 讲一讲题外话,这次的题外话回复下小伙伴的提问。如著名的那句“评论总是比正文好看呀”,看看上一期(一个碉堡的GEO和RNA-seq数据在线分析神器,生信so easy)的评论都是啥 Response1:哈哈哈,喜欢白介素的题外话吧,好巧啊,我...
An important goal of translational bioinformatics is the construction of classifiers that can identify different sample classes from high-throughput measurements, such as RNA-seq. The genomic data sets are high-dimensional - with tens of thousands or more features, while the number of tested samples...
Differential gene expression analysis using coexpression and RNA-Seq data. RNA-Seq is increasingly being used for differential gene expression analysis which was dominated by the microarray technology in the past decade. However, ... EW Yang,T Girke,J Tao - IEEE International Conference on Computat...
Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. We present scBatch, a numerical algorithm that conducts batch effect correction on the count matrix of RNA sequencing (RNA-seq) data. Different from traditional methods, scBatch starts wit...
library_strategy: 库构建策略，这里一般是RNA-seq library_source: 数据来源库，这里一般是TRANSCRIPTOMIC ...
Sample size determination for training cancer classifiers from microarray and RNA-seq data The objective of many high-dimensional microarray and RNA-seq studies is to develop a classifier of cancer patients based on characteristics of their disea... S Safo,S Xiao,KK Dobbin - 《Annals of Applied...
(2)A scaling normalization method for differential expression analysis of RNA-seq data 参考资料: 1,Differential expression analysis for sequence count data 2,Index of /doc/pdf 3,hbc/knowledgebase 4,between samples and within samples 5,In RNA-Seq, 2 != 2: Between-sample normalization...
A survey of best practices for RNA-seq data analysis. Genome Biol. 2016;17:13. 5. Na W, Lee IJ, Koh I, Kwon M, Song YS, Lee SH. Cancer-specific functional profiling in microsatellite-unstable (MSI) colon and endometrial cancers using combined differentially expressed genes and biclustering...