activity
20172025
most citedDOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

18 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

HistoWAS: A Pathomics Framework for Large-Scale Feature-Wide Association Studies of Tissue Topology and Patient Outcomes

Yuechen Yang, Junlin Guo, Yanfan Zhu +10

High-throughput "pathomic" analysis of Whole Slide Images (WSIs) offers new opportunities to study tissue characteristics and for biomarker discovery. However, the clinical relevan…

q-bio.QM2025

Robust multicellular programs dissect the complex tumor microenvironment and track disease progression in colorectal adenocarcinomas

Loan Vulliard, Teresa Glauner, Sven Truxa +8

Colorectal cancer (CRC) is highly heterogeneous, with five-year survival rates dropping from 90% in localized disease to 15% with distant metastases. Disease progressio…

cs.LG2025

ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data

Santanu Subhash Rathod, Francesco Ceccarelli, Sean B. Holden +3

Inferring trajectories from longitudinal spatially-resolved omics data is fundamental to understanding the dynamics of structural and functional tissue changes in development, rege…

cs.CE2023★ 18 cited

DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics

Arezou Rahimi, Luis A. Vale-Silva, Maria Faelth Savitski +2

Single-cell RNA sequencing (scRNA-seq) and spatially-resolved imaging/sequencing technologies have revolutionized biomedical research. On one hand, scRNA-seq provides information a…

cs.LG2019★ 9 cited

Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems

Žiga Lukšič, Jovan Tanevski, Sašo Džeroski +1

The central task in modeling complex dynamical systems is parameter estimation. This task involves numerous evaluations of a computationally expensive objective function. Surrogate…

physics.soc-ph2017★ 6 cited

Decoupling approximation robustly reconstructs directed dynamical networks

Nikola Simidjievski, Jovan Tanevski, Bernard Zenko +3

Methods for reconstructing the topology of complex networks from time-resolved observations of node dynamics are gaining relevance across scientific disciplines. Of biggest practic…