10.1186/s12885-021-08617-7 | Papers

Papers: 10.1186/s12885-021-08617-7

Precision treatment exploration of breast cancer based on heterogeneity analysis of lncRNAs at the single-cell level

Cited by: 3
Author(s): Yan Zhang, Denan Zhang, Qingkang Meng, Ziqi Liu, Hongbo Xie, Lei Liu, Fei Xu, Xiujie Chen
Published: almost 4 years ago

Michaelis-Menten Modelling of Dropouts in single-cell RNASeq
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Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
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Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
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Tools for Single Cell Genomics
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A set of python modules for machine learning and data mining
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Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
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