Human breast cancer PDX models bulk and single cell RNA sequencing

This dataset includes information relevant to the following manuscript from the labs of Prof. Carlos Caldas (University of Cambridge), and Dr. Long V. Nguyen (Princess Margaret Cancer Centre, University Health Network): Nguyen LV et al. Dynamics and plasticity of human breast cancer single cell-derived clones. Under consideration for publication. Bulk RNA sequencing raw count matrices are provided (RawCounts.csv) along with the normalized count matrices (LogCPMNormCounts.csv). Single cell RNA sequencing count matrix processed from R package metacell is provided (mat.pdx_LN_v2_filt.Rda), along with the mc and mc2d files with information on metacell partitions (mc.pdx_LN_v2_filt.Rda and mc2d.pdx_LN_v2_filt.Rda). Code and information on data analysis is provided for reviewers in our unpublished manuscript and on Github (https://github.com/cclab-brca/clone-dynamics).本数据集包含与剑桥大学卡洛斯·卡尔达斯（Carlos Caldas）教授课题组、多伦多大学健康网络玛格丽特癌症中心朗·V·阮（Long V. Nguyen）博士课题组相关的以下手稿的相关信息：阮LV等人撰写的《人类乳腺癌单细胞来源克隆的动态与可塑性》一文，目前处于待刊审核状态。本数据集提供了批量RNA测序原始计数矩阵（RawCounts.csv）与归一化计数矩阵（LogCPMNormCounts.csv）。此外，还提供了由R包元细胞（metacell）处理得到的单细胞RNA测序计数矩阵（mat.pdx_LN_v2_filt.Rda），以及包含元细胞分区信息的mc与mc2d文件（mc.pdx_LN_v2_filt.Rda与mc2d.pdx_LN_v2_filt.Rda）。本数据集为审稿人提供了未发表手稿中的数据分析代码与相关信息，相关内容同时托管于GitHub平台（https://github.com/cclab-brca/clone-dynamics）。