Robotics & Machine Learning Daily News2024,Issue(Dec.4) :176-177.

Beijing University of Chemical Technology Reports Findings in Lymphoma [Classification models and SAR analysis of anaplastic lymphoma kinase (ALK) inhib itors using machine learning algorithms with two data division methods]

北京化工大学报道淋巴瘤的发现[间变性淋巴瘤激酶(ALK)抑制子的分类模型和SAR分析使用两种数据分割方法的机器学习算法]

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :176-177.

Beijing University of Chemical Technology Reports Findings in Lymphoma [Classification models and SAR analysis of anaplastic lymphoma kinase (ALK) inhib itors using machine learning algorithms with two data division methods]

北京化工大学报道淋巴瘤的发现[间变性淋巴瘤激酶(ALK)抑制子的分类模型和SAR分析使用两种数据分割方法的机器学习算法]

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新的肿瘤学研究-淋巴瘤是一份报告的结尾。根据新闻报道来自北京的《中国人民日报》,由NewsRx记者报道,研究称,间变性淋巴瘤激酶(ALK)在各种肿瘤的发生发展中起着关键作用。本研究将收集到的1810个抑制剂的数据集分为训练集和测试集自组织映射(SOM)和随机方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Oncology - Lymphoma is the subjec t of a report. According to news reportingoriginating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated,“Anaplastic lymphoma kinase (ALK) plays a critical role in the development of various cancers. In this study, the dataset of 1810 collected inhibitors were divided into a training set and a test set by theself-organizing map (SOM) and random method, respectiv ely.”

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Cancer/Cyborgs/Emerging Technologies/Enzymes and Coenzymes/He alth and Medicine/Hematology/Immunoproliferative Disorders/Kinase/Lymphatic Diseases and Conditions/Lymphoma/Lymphoproliferative Disorders/Machine Learni ng/Oncology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文