Category encoding method to select feature genes for the classification of bulk and single‐cell RNA‐seq data-Reference-Cited by-同舟云学术

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Category encoding method to select feature genes for the classification of bulk and single‐cell RNA‐seq data

Published:2021-05-24 Issue:18 Volume:40 Page:4077-4089
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Zhou Yan¹^ORCID,Zhang Li¹,Xu Jinfeng²,Zhang Jun¹,Yan Xiaodong³

Affiliation:

1. Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Statistical Sciences, College of Mathematics and Statistics Shenzhen University Shenzhen China

2. Department of Mathematics Hong Kong University Pokfulam Hong Kong

3. Zhongtai Securities Institute for Financial Studies Shandong University Jinan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9015

Reference29 articles.

1. Next-Generation DNA Sequencing Methods

2. RNA-Seq: a revolutionary tool for transcriptomics

3. Applications of New Sequencing Technologies for Transcriptome Analysis

4. mRNA-Seq whole-transcriptome analysis of a single cell

5. Smart-seq2 for sensitive full-length transcriptome profiling in single cells

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CatBoost Encoded Tree-Based Model for the Identification of Microbes at Genes Level in 16S rRNA Sequence;Communication and Intelligent Systems;2022

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