Inferring cancer metabolism from gene-expression data

Vakul Mohanty

doi:10.1038/s41568-024-00670-1

Inferring cancer metabolism from gene-expression data

Vakul Mohanty

Bioinformatics & Computational Biology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	230
Number of pages	1
Journal	Nature Reviews Cancer
Volume	24
Issue number	4
DOIs	https://doi.org/10.1038/s41568-024-00670-1
State	Published - Apr 2024

ASJC Scopus subject areas

Oncology
Cancer Research

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10.1038/s41568-024-00670-1

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title = "Inferring cancer metabolism from gene-expression data",

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.",

author = "Vakul Mohanty",

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Inferring cancer metabolism from gene-expression data

Abstract

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