ReviewBiophysical reviews2020
Application of information theory in systems biology.
Review in Biophysical reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- The power of theory in the life sciences.eLife · 2026Article
- Enlarging viral mutation estimation: a view from the distribution of mutation rates.Microbiology (Reading, England) · 2026Article
- Selecting genes for analysis using historically contingent progress: from RNA changes to protein-protein interactions.Nucleic acids research · 2025Article
- Selecting genes for analysis using historically contingent progress: from RNA changes to protein-protein interactions.bioRxiv : the preprint server for biology · 2024Article
- Associating transcription factors to single-cell trajectories with DREAMIT.Genome biology · 2024Article
- Information Theory, Living Systems, and Communication Engineering.Entropy (Basel, Switzerland) · 2024Review
- Application of a novel numerical simulation to biochemical reaction systems.Frontiers in cell and developmental biology · 2024Article
- BannMI deciphers potentialBioinformatics advances · 2024Article
- Information-Theoretic Analysis of a Model of CAR-4-1BB-Mediated NFκB Activation.Bulletin of mathematical biology · 2023Article
- Planetary Scale Information Transmission in the Biosphere and Technosphere: Limits and Evolution.Life (Basel, Switzerland) · 2023Article
- Article
- Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Microbiota and adipocyte mitochondrial damage in type 2 diabetes are linked by Mmp12+ macrophages.The Journal of experimental medicine · 2022Article
- Progress in and Opportunities for Applying Information Theory to Computational Biology and Bioinformatics.Entropy (Basel, Switzerland) · 2022Article
- The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers.Entropy (Basel, Switzerland) · 2021Article
- Close to Optimal Cell Sensing Ensures the Robustness of Tissue Differentiation Process: The Avian Photoreceptor Mosaic Case.Entropy (Basel, Switzerland) · 2021Article
- Biophysical Reviews: 2020-looking back, going forward.Biophysical reviews · 2020Article
- Information Theory in Computational Biology: Where We Stand Today.Entropy (Basel, Switzerland) · 2020Article
- Biophysical Reviews' national biophysical society partnership program.Biophysical reviews · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by Shannon's information theory, is a basic and powerful tool that can be applied to various fields, such as communication, statistics, and computer science, as well as to information processing within cells. It has also been used to infer the network structure of molecular species. However, the difficulty of obtaining sufficient sample sizes and the computational burden associated with the high-dimensional data often encountered in biology can result in bottlenecks in the application of information theory to systems biology. This article provides an overview of the application of information theory to systems biology, discussing the associated bottlenecks and reviewing recent work.
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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.