ITree：用户驱动的分类树互动决策工具。

IF 4.4 3区生物学 Q1 BIOCHEMICAL RESEARCH METHODS Bioinformatics Pub Date : 2024-04-18 DOI:10.1093/bioinformatics/btae273

Hubert Sokołowski, M. Czajkowski, Anna Czajkowska, K. Jurczuk, M. Kretowski

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引用次数: 0

摘要

MOTIVATIONITree 是一款直观的网络工具，用于手动、半自动和自动归纳决策树。它能对树结构进行交互式修改，并结合了相对表达分析法，用于检测高通量分子数据中的复杂模式。这使得 ITree 成为生物医学数据分析研究和教育的多功能工具。结果该工具允许用户即时查看对决策树的修改效果，并实时显示预测和统计的更新，有助于加深对数据分类过程的理解。可用性和实施可在 https://itree.wi.pb.edu.pl 上在线获取。源代码和文档托管在 GitHub 上，网址为 https://github.com/hsokolowski/iTree.SUPPLEMENTARY 信息为增强用户体验和支持，我们还提供了其他资源。

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ITree: a user-driven tool for interactive decision-making with classification trees.

MOTIVATION ITree is an intuitive web tool for the manual, semi-automatic, and automatic induction of decision trees. It enables interactive modifications of tree structures and incorporates Relative Expression Analysis for detecting complex patterns in high-throughput molecular data. This makes ITree a versatile tool for both research and education in biomedical data analysis. RESULTS The tool allows users to instantly see the effects of modifications on decision trees, with updates to predictions and statistics displayed in real time, facilitating a deeper understanding of data classification processes. AVAILABILITY AND IMPLEMENTATION Available online at https://itree.wi.pb.edu.pl. Source code and documentation are hosted on GitHub at https://github.com/hsokolowski/iTree. SUPPLEMENTARY INFORMATION Additional resources are provided to enhance user experience and support.

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来源期刊

Bioinformatics 生物-生化研究方法

CiteScore

11.20

自引率

5.20%

发文量

753

审稿时长

2.1 months

期刊介绍： The leading journal in its field, Bioinformatics publishes the highest quality scientific papers and review articles of interest to academic and industrial researchers. Its main focus is on new developments in genome bioinformatics and computational biology. Two distinct sections within the journal - Discovery Notes and Application Notes- focus on shorter papers; the former reporting biologically interesting discoveries using computational methods, the latter exploring the applications used for experiments.