Latest Articles for Biology

Researchers develop a software package to simplify cell signaling analysis.

This article examines a method for assessing uncertainty in network statistics.

New algorithms improve community detection by addressing connectivity in networks.

Birds use radical pairs for magnetic navigation, revealing unique interactions at the molecular level.

A look at how measurement errors shape our view of evolution.

FEX offers a novel approach to understanding complex network dynamics from limited data.

Exploring methods to model complex systems using real-world data.

Research on hibernation reveals new paths for metabolic health.

Exploring the links between chemical signals and organism movement.

Investigating how physics helps understand genetic networks in living organisms.

A novel approach to parameter estimation in ordinary differential equations using diffusion tempering.

A new approach improves predictions in biological pathway analysis.

PIE simplifies complex biological data for clearer insights.

Researchers analyze rhythmic networks for better robotic and electronic systems.

Exploring mathematical models of particle movement and their complex behaviors.

A look into mixed order operators and their role in modeling complex systems.

Study examines how spore variation affects fern survival and reproduction.

Investigating how polymers move through confined spaces and its biological significance.

Research reveals how mechanical signals impact our internal biological clocks.

Examining how stabilizing selection influences genetic traits and diversity over time.

New Bi2FC system enhances reliability in protein interaction research.

An overview of branching processes and their applications in various fields.

New framework enhances protein research through innovative question answering.

Learn how pooled data testing is reshaping category identification across various fields.

Investigating the impact of random environments on random walk behavior.

This article presents a framework for studying interactions between multiple populations over time.

A look at spectral gaps and their role in Markov processes.

Exploring the role of multipliers in dynamical systems and their applications.

Research highlights methods to predict ATP binding sites in proteins for drug development.

PhenoLinker enhances the prediction of gene-phenotype associations using advanced AI techniques.

Flutter instability impacts both engineering and natural systems, revealing important patterns.

Research develops a model to enhance cancer treatment with heat and radiation.

A deep dive into hypergraph structures and their ranking via spectral moments.

idMotif aids researchers in visualizing and analyzing protein sequences for motif identification.

A new approach enhances prediction accuracy for antibody-antigen interactions.

Researchers improve models to analyze gene expression and learn biological attributes.

A study on how geometric conditions affect steady states in reaction-diffusion systems.

Exploring the role and stability of tubular networks in cellular functions.

A look into how Markov processes influence complex systems over time.

New algorithm improves efficiency in matching colored points in geometry.