ArticleFunctional & integrative genomics2022
Basics on network theory to analyze biological systems: a hands-on outlook.
Article in Functional & integrative genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026Review
- Reverse game: from Nash equilibrium to network structure, number and probability of occurrence.Royal Society open science · 2025Article
- Disease Network-Based Approaches to Study Comorbidity in Heart Failure: Current State and Future Perspectives.Current heart failure reports · 2024Review
- Integrated analysis of single-cell and bulk RNA sequencing data identifies the characteristics of ferroptosis in lumbar disc herniation.Functional & integrative genomics · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Biological processes result from interactions among molecules and cell-to-cell communications. In the last 50 years, network theory has empowered advances in understanding molecular networks' structure and dynamics that regulate biological systems. Adopting a network data analysis point of view at more laboratories might enrich their research capacity to generate forward working hypotheses. This work briefly describes network theory origins and provides basic graph analysis principles in biological systems, specific centrality measurements, and the main models for network structures. Also, we describe a workflow employing user-friendly free platforms to process, construct, and analyze transcriptome data from a network perspective. With this assay, we expect to encourage the implementation of network theory analysis on biological data in everyday laboratory research.
Indexed as
Identifiers
36227427What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.