Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

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Single-cell profiling reveals a reduced epithelial defense system, decreased immune responses and the immune regulatory roles of different fibroblast subpopulations in chronic atro... by Lin Lin, Tingxuan Huang, Lizhi Li, Yang Lin, Feng Chen, Ziyi Zheng, Jie Zhou, Yizhe Wang, Weihao You, Yujie Duan, Yawen An, Shiwei He, Weimin Ye

Subjects: “…Single-cell RNA sequencing (scRNA-seq)…”
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SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden by Bethany K. Hughes, Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, Cleo L. Bishop

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Detection of Cancer Stem Cells from Patient Samples by Sofia Hakala, Anna Hämäläinen, Sanne Sandelin, Nikolaos Giannareas, Elisa Närvä

Subjects: “…single-cell RNA sequencing (scRNA-seq)…”
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Cancer stem cells and tumor-associated macrophages as mates in tumor progression: mechanisms of crosstalk and advanced bioinformatic tools to dissect their phenotypes and interacti... by Francesco Verona, Sebastiano Di Bella, Roberto Schirano, Camilla Manfredi, Francesca Angeloro, Giulia Bozzari, Matilde Todaro, Matilde Todaro, Giuseppe Giannini, Giuseppe Giannini, Giorgio Stassi, Veronica Veschi

Subjects: “…single-cell RNA sequencing (scRNA-seq)…”
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Aberrant c-AMP signalling in richter syndrome revealed by single-cell transcriptome and 3D chromatin analysis by Heng Li, Cheng Xing, Ji Li, Yihao Zhan, Ming Luo, Peilong Wang, Yue Sheng, Hongling Peng

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Characterization of subcutaneous and visceral de-differentiated fat cells by Yan Li, Houyu Zhang, Carlos F. Ibáñez, Meng Xie

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TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms by Nicholas L. Calistri, Tiera A. Liby, Zhi Hu, Hongmei Zhang, Mark A. Dane, Sean M. Gross, Laura M. Heiser

Subjects: “…Single-cell RNA sequencing (scRNA-seq)…”
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