In this article, we present IntelliGenes, a novel machine learning (ML) pipeline for the multi-genomics exploration to discover biomarkers significant in disease prediction with high accuracy. IntelliGenes is based on a novel approach, which consists of nexus of conventional statistical techniques and cutting-edge ML algorithms using multi-genomic, clinical, and demographic data. IntelliGenes introduces a new metric i.e., Intelligent Gene (I-Gene) score to measure the importance of individual biomarkers for prediction of complex traits. I-Gene scores can be utilized to generate I-Gene profiles of individuals to comprehend the intricacies of ML used in disease prediction. IntelliGenes is user-friendly, portable, and a cross-platform application, compatible with Microsoft Windows, macOS, and UNIX operating systems. IntelliGenes not only holds the potential for personalized early detection of common and rare diseases in individuals, but also opens avenues for broader research using novel ML methodologies, ultimately leading to personalized interventions and novel treatment targets. Availability The source code of IntelliGenes is available on GitHub (https://github.com/drzeeshanahmed/intelligenes) and Code Ocean (https://codeocean.com/capsule/8638596/tree/v1). Supplementary information Supplementary data are available at Bioinformatics online.

中文翻译：

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IntelliGenes：一种新颖的机器学习管道，用于使用多基因组图谱发现生物标志物和进行预测分析


在本文中，我们介绍了 IntelliGenes，这是一种新型机器学习 (ML) 管道，用于多基因组学探索，以高精度发现对疾病预测具有重要意义的生物标志物。 IntelliGenes 基于一种新颖的方法，该方法结合了传统统计技术和使用多基因组、临床和人口统计数据的尖端 ML 算法。 IntelliGenes 引入了一种新的指标，即智能基因 (I-Gene) 评分，以衡量单个生物标志物对于预测复杂性状的重要性。 I-Gene 评分可用于生成个体的 I-Gene 概况，以理解疾病预测中使用的 ML 的复杂性。 IntelliGenes 是一款用户友好、可移植的跨平台应用程序，与 Microsoft Windows、macOS 和 UNIX 操作系统兼容。 IntelliGenes 不仅具有对个体常见和罕见疾病进行个性化早期检测的潜力，而且还为使用新颖的 ML 方法进行更广泛的研究开辟了途径，最终导致个性化干预措施和新颖的治疗目标。可用性 IntelliGenes 的源代码可在 GitHub (https://github.com/drzeeshanahmed/intelligenes) 和 Code Ocean (https://codeocean.com/capsule/8638596/tree/v1) 上获取。补充信息 补充数据可在生物信息学在线获取。