---
title: "悟空云平台交流第44期---《随机森林树回归》"
author: "omicsolution"
account: "omicsolution"
published_at: "2024-05-07T10:55:17+08:00"
captured_at: "2026-08-26T17:28:02.176483+08:00"
source_url: "https://mp.weixin.qq.com/s/tdAVrch0b7nQAZXkQ45exA"
---

# 悟空云平台交流第44期---《随机森林树回归》
前期我们介绍过使用随机森林树模型进行分类预测（参考第32期视频）。今天我们介绍下如何在悟空云平台中使用随机森林树回归模型。当你的数据结构比较复杂，如可能存在异常值，数据不平衡，而且数据不需要做标准化。当一般的回归模型预测效果不好时，可以来试试这个模型。

再结合我以前介绍的视频内容，也有很多其他的回归方法也可以参考使用。往期的视频也可以参见悟空云平台中的链接以及我们的微信公众号推文和视频号。本系列视频会收录在我们公众号菜单：技术动态->悟空云系列讲座

使用悟空云平台，可在文章中如下描述：

1) 比如在正文Methods部分：We use 'Wu Kong' platform (https://www.omicsolution.com/wkomics/main/) for relative xxx analysis.

2) 比如在致谢(Acknowledgements)部分：Thank Dr. Shisheng Wang (West China Hospital, Sichuan University) and Dr. Chengpin Shen (Omicsolution Co., Ltd) for giving some advices about data analysis and 'Wu Kong' platform (https://www.omicsolution.com/wkomics/main/) for relative xxx analysis.

目前基于悟空平台开发的分析工具已发表以下文章：

1. (2020)Shisheng Wang, Wenxue Li, Liqiang Hu, Jingqiu Cheng, Hao Yang, Yansheng Liu, NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses, Nucleic Acids Research, gkaa498. (2021 IF: 19.16). Link to article.

2. (2022) Huilin Yu, Haiyu Luo, Luping Chang,Shisheng Wang （共一作）, ..., Hao Yang, Wenying Fan & Bing-Qiao Zhao, The NEDD8-activating enzyme inhibitor MLN4924 reduces ischemic brain injury in mice. Proceedings of the National Academy of Sciences, 119(6). (2021 IF: 12.779). Link to article.

3. (2022) Yi Zhong Shisheng Wang (共通讯), et al. Proteome and phosphoproteome profiling of non-small cell lung cancer cell line A549 treated with TRAIL, Proteomics, 10.1002/pmic.202200248. (2021 IF: 5.393). Link to article.

4. (2021)Shisheng Wang, et al. StatsPro: Systematic integration and evaluation of statistical approaches for detecting differential expression in label-free quantitative proteomics, Journal of Proteomics, 10.1016/j.jprot.2021.104386. (2020 IF: 4.04). Link to article.

5. (2021)Shisheng Wang, Yi Zhong, Jingqiu Cheng, Hao Yang, EnrichVisBox: A Versatile and Powerful Web Toolbox for Visualizing Complex Functional Enrichment Results of Omics Data, Journal of computational biology, 10.1089/cmb.2020.0564. (2020 IF: 1.479). Link to article.

6. (2020)Shisheng Wang, Hongwen Zhu, Hu Zhou, Jingqiu Cheng and Hao Yang. MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks. BMC Bioinformatics 21, 439 (2020). (2019 IF: 3.242). Link to article.

7. (2019)Shisheng Wang, Yue Cai, Jingqiu Cheng, Wenxue Li, Yansheng Liu and Hao Yang. motifeR: An Integrated Web Software for Identification and Visualization of Protein Post‐Translational Modification Motifs. Proteomics: 201900245. (2018 IF: 3.106). Link to article.

8. (2019)Shisheng Wang and Hao Yang. pseudoQC: A Regression‐Based Simulation Software for Correction and Normalization of Complex Metabolomics and Proteomics Datasets. Proteomics: 1900264. (2018 IF: 3.106). Link to article.

9. (2018)Shisheng Wang, ..., and Meng Gong. MetaboGroupS: A Group Entropy-Based Web Platform for Evaluating Normalization Methods in Blood Metabolomics Data from Maintenance Hemodialysis Patients. Anal Chem 90, 11124-11130. (2017 IF: 6.042). Link to article.

10. (2018)Shisheng Wang, ..., and Hao Yang. MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data. Journal of computational biology : a journal of computational molecular cell biology 25, 1123-1127. (2017 IF: 1.191). Link to article.

11. (2018) Qing-Run Li,Shi-Sheng Wang(共一作), Hong-Wen Zhu, Fang-Ying Xia, Peter Roepstorff, Jia-Rui Wu, and Rong Zeng. Data-Independent Acquisition Mass Spectrometry to Localize Phosphosites. bioRxiv: 464545. Link to article.

![图片 1](images/001.png)

同时悟空平台整合上百个分析模块，包括且远不止以下功能

![图片 2](images/002.png)

而围绕上游质谱数据解析和下游组学应用，易算近期也发表了多篇文章：

-

DeepFLR facilitates false localization rate control in phosphoproteomics

Y.Zong, Y.Wang, Y.Yang, D.Zhao,Xiaoqing Wang, Chengpin Shen,and Liang Qiao*Nature Communications IF18,2023

-

Data-independent acquisition boosts quantitative metaproteomics for deep characterization of gut microbiota
J. Zhao, Y.Yang, H.Xu,...,Chengpin Shen,.. Xia Li* and Liang Qiao*npj Biofilms and Microbiomes IF8,2023

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Circulating proteomic panels for risk stratification of intracranial aneurysm and its rupture

Yueting Xiong,...,Xiaohui Liu*EMBO Mol Med, IF12.3,2022

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Multi-Omic Profiling of Multi-Biosamples Reveals the Role of Amino Acid and Nucleotide Metabolism in Endometrial Cancer

Runqiu Yi, Liying Xie,Xiaoqing Wang, Chengpin Shen, Xiaojun Chen*, Liang Qiao*，Frontiers in Oncology，IF6.3,2022

-

Mesoporous Silica as Sorbents and Enzymatic Nanoreactors for Microbial Membrane Proteomics
J. Zhao, R. Jian, Y. Wang, B. Yang, D. Zhao,C. Shen, L. Qiao*, B. Liu*,ACS Applied Materials & Interfa ces, IF10,2021

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Direct MALDI-TOF Profiling of Gingival Crevicular Fluid Sediments for Periodontitis Diagnosis
J. Yi, Y. Shen, Y. Yang,C. Shen, B. Liu, L. Qiao*, Y. Wang*,Talanta, IF5,2021

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Proteomic and Metabolic Elucidation of Solar-Powered Biomanufacturing by Bio-Abiotic Hybrid System
Rutan Zhang, ...,Chengpin Shen, ..., Liang Qiao Chem IF26,2020

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In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics
Yi Yang, ...,Chengpin Shen,... and Liang Qiao Nature Communications IF18,2020

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Metaproteomics characterizes human gut microbiome function in colorectal cancer
Shuping Long, ...,Chengpin Shen,.. and Liang Qiao npj Biofilms and Microbiomes IF8,2020

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