Image de couverture de livre

CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Malinowski, Jakub, Kostrzewa, Marcin, Balcerek, Michał, Tomczuk, Weronika, Szwabiński, Janusz
Format:	Preprint
Publié:	2025
Sujets:	Quantitative Methods Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
par: Espinel-Ríos, Sebastián, et autres
Publié: (2024)

Maximum likelihood estimates of diffusion coefficients from single-particle tracking experiments
par: Bullerjahn, Jakob Tómas, et autres
Publié: (2020)

Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
par: Adamczyk, Jakub, et autres
Publié: (2024)

Feature selection revisited in the single-cell era
par: Yang, Pengyi, et autres
Publié: (2021)

Inferring processes within dynamic forest models using hybrid modeling
par: Pichler, Maximilian, et autres
Publié: (2025)

A Bayesian approach to model uncertainty in single-cell genomic data
par: Ren, Shanshan, et autres
Publié: (2025)

A Python library for efficient computation of molecular fingerprints
par: Szafarczyk, Michał, et autres
Publié: (2024)

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
par: Chevalley, Mathieu, et autres
Publié: (2023)

Controllable protein design with particle-based Feynman-Kac steering
par: Hartman, Erik, et autres
Publié: (2025)

Explainable Deep Learning Framework for SERS Bio-quantification
par: Zaki, Jihan K., et autres
Publié: (2024)

scDiffusion: conditional generation of high-quality single-cell data using diffusion model
par: Luo, Erpai, et autres
Publié: (2024)

A geometric feature tracking approach for noninvasive patient specific estimation of leaflet strain from 3D images of heart valves
par: Wu, Wensi, et autres
Publié: (2025)

scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
par: Sun, Jianle, et autres
Publié: (2025)

Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models
par: Sadashivaiah, Vijay, et autres
Publié: (2026)

Parameter estimation from an Ornstein-Uhlenbeck process with measurement noise
par: Carter, Simon, et autres
Publié: (2023)

CESPED: a new benchmark for supervised particle pose estimation in Cryo-EM
par: Sanchez-Garcia, Ruben, et autres
Publié: (2023)

Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
par: Pillonetto, G., et autres
Publié: (2025)

A novel approach to classification of ECG arrhythmia types with latent ODEs
par: Yan, Angelina, et autres
Publié: (2025)

Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data
par: Chardès, Victor
Publié: (2025)

Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
par: Suk, Julian, et autres
Publié: (2024)

Machine learning approaches to explore important features behind bird flight modes
par: Kawai, Yukino, et autres
Publié: (2024)

Hierarchical novel class discovery for single-cell transcriptomic profiles
par: Senoussi, Malek, et autres
Publié: (2024)

dsLassoCov: a federated machine learning approach incorporating covariate control
par: Cao, Han, et autres
Publié: (2024)

ILETIA: An AI-enhanced method for individualized trigger-oocyte pickup interval estimation of progestin-primed ovarian stimulation protocol
par: Wu, Binjian, et autres
Publié: (2025)

High-dimensional point forecast combinations for emergency department demand
par: Guo, Peihong, et autres
Publié: (2025)

PEtab-GUI: A graphical user interface to create, edit and inspect PEtab parameter estimation problems
par: Jost, Paul Jonas, et autres
Publié: (2025)

BrainSymphony: A parameter-efficient multimodal foundation model for brain dynamics with limited data
par: Khajehnejad, Moein, et autres
Publié: (2025)

Parameter-free representations outperform single-cell foundation models on downstream benchmarks
par: Souza, Huan, et autres
Publié: (2026)

GramSeq-DTA: A grammar-based drug-target affinity prediction approach fusing gene expression information
par: Debnath, Kusal, et autres
Publié: (2024)

Learning to learn ecosystems from limited data -- a meta-learning approach
par: Zhai, Zheng-Meng, et autres
Publié: (2024)

A practical identifiability criterion leveraging weak-form parameter estimation
par: Heitzman-Breen, Nora, et autres
Publié: (2025)

MIEO: encoding clinical data to enhance cardiovascular event prediction
par: Borghini, Davide, et autres
Publié: (2025)

Towards DNA-Encoded Library Generation with GFlowNets
par: Koziarski, Michał, et autres
Publié: (2024)

Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
par: Stock, Michiel, et autres
Publié: (2024)

Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges
par: Raghuvamsi, Palur Venkata, et autres
Publié: (2025)

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
par: Zuo, Wenxuan, et autres
Publié: (2024)

Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations
par: Yang, Tianjian, et autres
Publié: (2025)

An ADMM approach for multi-response regression with overlapping groups and interaction effects
par: Asenso, Theophilus Quachie, et autres
Publié: (2023)

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data
par: Frank, Robert, et autres
Publié: (2025)

Association between nutritional factors, inflammatory biomarkers and cancer types: an analysis of NHANES data using machine learning
par: Liu, Yuqing, et autres
Publié: (2025)