1.https://erilu.github.io/bulk-rnaseq-analysis/
早!今天小编和大家分享一篇22年11月发表在Frontiers in Immunology(IF:8.786)杂志的文章《Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of sin...
Bulk RNA-sequencingBulk RNA-sequencing pipeline流程(含代码) 2020/11/12 添加评论 对于Bulk RNA-seq测序(用于比较转录组学,如不同物种的同…© 2025 Omics – Hunter 浙公网安备 33010802011761号 陕ICP备19016588号-1 邮箱:chenhao__@__evvail.com(发件请删除下划线) 站点地图 | RSS订阅 | 关于我 | 文...
RNA sequencingTranscriptomicsImmunologyPost COVID-19 condition (PCC) is a complication of SARS-COV-2 infection and can lead to long-term disability. The present study was designed to analyse the gene expression patterns of PCC through bulk RNA sequencing of whole blood a...
Sequencing multiple samples from the same tumour and increasing the coverage can to some extent mitigate these issues, but is not always practicable. Fig. 1 Comparison of inferred mutation histories based on single-cell and bulk-sequencing data. a Ground truth clonal tree with mutations M1,…, ...
We first analyzed single-cell transcriptome data of NPCs through WGCNA and pseudotime sequence analysis to identify genes significantly altered in disc degeneration tissue, and then used multiple machine learning algorithms to re-screen and verify the obtained genes in bulk sequencing data. Genes that ...
Following this, normalized and logarithmically transformed the bulk sequencing data. Subsequently, we conducted preliminary screening using single-factor logistic regression on the genes derived from single-cell sequencing. Next, we applied two machine learning techniques, namely, SVM–RFE and random ...
Identification of a novel immune-related gene signature by single-cell and bulk sequencing for the prediction of the immune landscape and prognosis of breast cancer Yanlin Gu, Zhengyang Feng, Xiaoyan Xu & Liyan Jin Cancer Cell International volume 24, Article number: 393 (2024) Cite this articl...
mobsteris a package that implements a model-based approach forsubclonal deconvolutionof cancer genome sequencing data (Caravagna et al; PMID: 32879509). The package integrates evolutionary theory (i.e., population) and Machine-Learning to analyze (e.g., whole-genome) bulk data from cancer sampl...
FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samplesYao Xiao, Xueqing Wang, Hongjiu Zhang, Peter J. Ulintz, Hongyang Li & Yuanfang Guan Nature Communications volume 11, Article number: 4469 (2020) Cite this article ...