Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines
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DOI: 10.1038/s41467-022-30230-w
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- Ankur Sharma & Elaine Yiqun Cao & Vibhor Kumar & Xiaoqian Zhang & Hui Sun Leong & Angeline Mei Lin Wong & Neeraja Ramakrishnan & Muhammad Hakimullah & Hui Min Vivian Teo & Fui Teen Chong & Shumei Chia, 2018. "Longitudinal single-cell RNA sequencing of patient-derived primary cells reveals drug-induced infidelity in stem cell hierarchy," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
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- Shumei Chia & Joo-Leng Low & Xiaoqian Zhang & Xue-Lin Kwang & Fui-Teen Chong & Ankur Sharma & Denis Bertrand & Shen Yon Toh & Hui-Sun Leong & Matan T. Thangavelu & Jacqueline S. G. Hwang & Kok-Hing Li, 2017. "Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time," Nature Communications, Nature, vol. 8(1), pages 1-12, December.
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- Junyi Chen & Xiaoying Wang & Anjun Ma & Qi-En Wang & Bingqiang Liu & Lang Li & Dong Xu & Qin Ma, 2022. "Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
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