{"title":"Inferring cancer metabolism from gene-expression data","authors":"Vakul Mohanty","doi":"10.1038/s41568-024-00670-1","DOIUrl":null,"url":null,"abstract":"In this Tools of the Trade article, Vakul Mohanty describes the development and use of METAFlux, a computational framework that infers metabolic flux from bulk and single-cell RNA-sequencing data.","PeriodicalId":19055,"journal":{"name":"Nature Reviews Cancer","volume":"24 4","pages":"230-230"},"PeriodicalIF":72.5000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41568-024-00670-1","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In this Tools of the Trade article, Vakul Mohanty describes the development and use of METAFlux, a computational framework that infers metabolic flux from bulk and single-cell RNA-sequencing data.
期刊介绍：
Nature Reviews Cancer, a part of the Nature Reviews portfolio of journals, aims to be the premier source of reviews and commentaries for the scientific communities it serves. The correct abbreviation for abstracting and indexing purposes is Nat. Rev. Cancer. The international standard serial numbers (ISSN) for Nature Reviews Cancer are 1474-175X (print) and 1474-1768 (online). Unlike other journals, Nature Reviews Cancer does not have an external editorial board. Instead, all editorial decisions are made by a team of full-time professional editors who are PhD-level scientists. The journal publishes Research Highlights, Comments, Reviews, and Perspectives relevant to cancer researchers, ensuring that the articles reach the widest possible audience due to their broad scope.
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