S. A. Frank

Precise traits from sloppy components: perception and the origin of phenotypic response

The paper explores how organisms can achieve precise traits from sloppy components by drawing parallels between machine learning and evolutionary processes in perception and response.

Numbers of mutations within multicellular bodies: why it matters

The paper explains the quantitative principles of somatic mutation accumulation in multicellular organisms and introduces a Frechet distribution approximation to model mutational burden variation.

Robustness increases heritability: implications for familial disease

The paper shows that robustness increases heritability of traits and diseases by reducing variation and consequences of perturbations.

The generalized Price equation: forces that change population statistics

The paper generalizes the Price equation to apply to any population statistic expressed as a function of frequencies and measurements, separating direct forces from altered frame of reference effects.

Quantitating denaturation by formic acid: Imperfect repeats are essential to the stability of the functional amyloid protein FapC

The paper quantifies how formic acid denatures functional amyloid FapC and shows that imperfect repeats are essential for fibril stability.

Sexual antagonism leads to a mosaic of X-autosome conflict

The paper analyzes X-autosome conflict in sexually antagonistic traits and finds that X-linked loci can favor either female or male optima depending on genetic parameters.

Invariance in ecological pattern

This paper explains ecological patterns like the log series and lognormal distributions using the concept of invariance, showing how these patterns emerge from invariant processes in ecological systems.

Evolutionary design of regulatory control. I. A robust control theory analysis of tradeoffs

This paper applies control theory to analyze evolutionary tradeoffs in regulatory systems, clarifying concepts and providing methods for predictive modeling and comparative analysis.

Measurement invariance explains the universal law of generalization for psychological perception

The paper explains the universal law of generalization in perception using measurement invariances, showing that shift, stretch, and rotation invariances lead to exponential and Gaussian patterns of discrimination.

Receptor Uptake Arrays For Vitamin B12, Siderophores And Glycans Shape Bacterial Communities

The paper explores how receptor arrays in bacteria shape communities by enabling uptake of diverse nutrients like vitamin B12, siderophores, and glycans, and connects this to control theory and AI.

Universal expressions of population change by the Price equation: natural selection, information, and maximum entropy production

The paper applies the Price equation to unify concepts of population change across biology, information theory, and thermodynamics by analyzing how changes in probabilities and metrics interact.