activity
20062025
most citedHierarchical confusion matrix for classification performance evaluation

57 citations · 143 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2025★ 3 cited

HuBMAP Data Portal: a resource for multimodal spatial and single-cell data of healthy human tissues

Morgan L. Turner, Thomas C. Smits, Tiffany S. Liaw +46

The NIH Human BioMolecular Atlas Program (HuBMAP) Data Portal (https://portal.hubmapconsortium.org/) serves as a comprehensive repository for multimodal, multi-scale spatial and si…

q-bio.GN2024★ 2 cited

Insights, opportunities and challenges provided by large cell atlases

Martin Hemberg, Federico Marini, Shila Ghazanfar +27

The field of single-cell biology is growing rapidly and is generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts…

cs.LG2023★ 57 cited

Hierarchical confusion matrix for classification performance evaluation

Kevin Riehl, Michael Neunteufel, Martin Hemberg

In this work we propose a novel concept of a hierarchical confusion matrix, opening the door for popular confusion matrix based (flat) evaluation measures from binary classificatio…

q-bio.QM2006★ 51 cited

Stochastic kinetics of viral capsid assembly based on detailed protein structures

Martin Hemberg, Sophia N. Yaliraki, Mauricio Barahona

We present a generic computational framework for the simulation of viral capsid assembly which is quantitative and specific. Starting from PDB files containing atomic coordinates,…

q-bio.QM2006★ 30 cited

Perfect Sampling of the Master Equation for Gene Regulatory Networks

Martin Hemberg, Mauricio Barahona

We present a Perfect Sampling algorithm that can be applied to the Master Equation of Gene Regulatory Networks (GRNs). The method recasts Gillespie's Stochastic Simulation Algorith…