activity
20092026
most citedSensitivity, robustness and identifiability in stochastic chemical kinetics models

218 citations · 303 across the 12 of their papers we have counts for

collaborators

12 papers

q-bio.MN2026

From Berg-Purcell precision bounds to clock-limited information capacity

Michał Komorowski

Physical limits to chemical sensing are traditionally expressed as Berg-Purcell bounds on estimation accuracy. Whether these bounds also limit the total amount of information a mol…

q-bio.QM2025

Closed-Form Information Capacity of Canonical Signaling Models

Michał Komorowski

We employ a unified framework for computing the information capacity of biological signaling systems using Fisher Information. By deriving closed-form or easily computable informat…

cs.LG2021

ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals

Michał K. Komorowski, Krzysztof Rykaczewski, Tomasz Piotrowski +5

Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can s…

q-bio.QM2018★ 52 cited

Information-theoretic analysis of multivariate single - cell signaling responses using SLEMI

Tomasz Jetka, Tomasz Winarski, Karol Nienaltowski +2

Mathematical methods of information theory constitute essential tools to describe how stimuli are encoded in activities of signaling effectors. Exploring the information-theoretic…

cs.CV2017

Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space

Michal Komorowski, Tomasz Trzcinski

Approximate nearest neighbour (ANN) search is one of the most important problems in computer science fields such as data mining or computer vision. In this paper, we focus on ANN f…

stat.AP2014★ 33 cited

Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: An application to single cell data

Bärbel Finkenstädt, Dan J. Woodcock, Michal Komorowski +4

A central challenge in computational modeling of dynamic biological systems is parameter inference from experimental time course measurements. However, one would not only like to i…