CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data
Fuente:
arXiv
Guardado en:
| Autores principales: | Malinowski, Jakub, Kostrzewa, Marcin, Balcerek, Michał, Tomczuk, Weronika, Szwabiński, Janusz |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
por: Espinel-Ríos, Sebastián, et al.
Publicado: (2024)
por: Espinel-Ríos, Sebastián, et al.
Publicado: (2024)
Maximum likelihood estimates of diffusion coefficients from single-particle tracking experiments
por: Bullerjahn, Jakob Tómas, et al.
Publicado: (2020)
por: Bullerjahn, Jakob Tómas, et al.
Publicado: (2020)
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
por: Adamczyk, Jakub, et al.
Publicado: (2024)
por: Adamczyk, Jakub, et al.
Publicado: (2024)
Feature selection revisited in the single-cell era
por: Yang, Pengyi, et al.
Publicado: (2021)
por: Yang, Pengyi, et al.
Publicado: (2021)
Inferring processes within dynamic forest models using hybrid modeling
por: Pichler, Maximilian, et al.
Publicado: (2025)
por: Pichler, Maximilian, et al.
Publicado: (2025)
A Bayesian approach to model uncertainty in single-cell genomic data
por: Ren, Shanshan, et al.
Publicado: (2025)
por: Ren, Shanshan, et al.
Publicado: (2025)
A Python library for efficient computation of molecular fingerprints
por: Szafarczyk, Michał, et al.
Publicado: (2024)
por: Szafarczyk, Michał, et al.
Publicado: (2024)
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
por: Chevalley, Mathieu, et al.
Publicado: (2023)
por: Chevalley, Mathieu, et al.
Publicado: (2023)
Controllable protein design with particle-based Feynman-Kac steering
por: Hartman, Erik, et al.
Publicado: (2025)
por: Hartman, Erik, et al.
Publicado: (2025)
Explainable Deep Learning Framework for SERS Bio-quantification
por: Zaki, Jihan K., et al.
Publicado: (2024)
por: Zaki, Jihan K., et al.
Publicado: (2024)
scDiffusion: conditional generation of high-quality single-cell data using diffusion model
por: Luo, Erpai, et al.
Publicado: (2024)
por: Luo, Erpai, et al.
Publicado: (2024)
A geometric feature tracking approach for noninvasive patient specific estimation of leaflet strain from 3D images of heart valves
por: Wu, Wensi, et al.
Publicado: (2025)
por: Wu, Wensi, et al.
Publicado: (2025)
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
por: Sun, Jianle, et al.
Publicado: (2025)
por: Sun, Jianle, et al.
Publicado: (2025)
Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models
por: Sadashivaiah, Vijay, et al.
Publicado: (2026)
por: Sadashivaiah, Vijay, et al.
Publicado: (2026)
Parameter estimation from an Ornstein-Uhlenbeck process with measurement noise
por: Carter, Simon, et al.
Publicado: (2023)
por: Carter, Simon, et al.
Publicado: (2023)
CESPED: a new benchmark for supervised particle pose estimation in Cryo-EM
por: Sanchez-Garcia, Ruben, et al.
Publicado: (2023)
por: Sanchez-Garcia, Ruben, et al.
Publicado: (2023)
Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
por: Pillonetto, G., et al.
Publicado: (2025)
por: Pillonetto, G., et al.
Publicado: (2025)
A novel approach to classification of ECG arrhythmia types with latent ODEs
por: Yan, Angelina, et al.
Publicado: (2025)
por: Yan, Angelina, et al.
Publicado: (2025)
Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data
por: Chardès, Victor
Publicado: (2025)
por: Chardès, Victor
Publicado: (2025)
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
por: Suk, Julian, et al.
Publicado: (2024)
por: Suk, Julian, et al.
Publicado: (2024)
Machine learning approaches to explore important features behind bird flight modes
por: Kawai, Yukino, et al.
Publicado: (2024)
por: Kawai, Yukino, et al.
Publicado: (2024)
Hierarchical novel class discovery for single-cell transcriptomic profiles
por: Senoussi, Malek, et al.
Publicado: (2024)
por: Senoussi, Malek, et al.
Publicado: (2024)
dsLassoCov: a federated machine learning approach incorporating covariate control
por: Cao, Han, et al.
Publicado: (2024)
por: Cao, Han, et al.
Publicado: (2024)
ILETIA: An AI-enhanced method for individualized trigger-oocyte pickup interval estimation of progestin-primed ovarian stimulation protocol
por: Wu, Binjian, et al.
Publicado: (2025)
por: Wu, Binjian, et al.
Publicado: (2025)
High-dimensional point forecast combinations for emergency department demand
por: Guo, Peihong, et al.
Publicado: (2025)
por: Guo, Peihong, et al.
Publicado: (2025)
PEtab-GUI: A graphical user interface to create, edit and inspect PEtab parameter estimation problems
por: Jost, Paul Jonas, et al.
Publicado: (2025)
por: Jost, Paul Jonas, et al.
Publicado: (2025)
BrainSymphony: A parameter-efficient multimodal foundation model for brain dynamics with limited data
por: Khajehnejad, Moein, et al.
Publicado: (2025)
por: Khajehnejad, Moein, et al.
Publicado: (2025)
Parameter-free representations outperform single-cell foundation models on downstream benchmarks
por: Souza, Huan, et al.
Publicado: (2026)
por: Souza, Huan, et al.
Publicado: (2026)
GramSeq-DTA: A grammar-based drug-target affinity prediction approach fusing gene expression information
por: Debnath, Kusal, et al.
Publicado: (2024)
por: Debnath, Kusal, et al.
Publicado: (2024)
Learning to learn ecosystems from limited data -- a meta-learning approach
por: Zhai, Zheng-Meng, et al.
Publicado: (2024)
por: Zhai, Zheng-Meng, et al.
Publicado: (2024)
A practical identifiability criterion leveraging weak-form parameter estimation
por: Heitzman-Breen, Nora, et al.
Publicado: (2025)
por: Heitzman-Breen, Nora, et al.
Publicado: (2025)
MIEO: encoding clinical data to enhance cardiovascular event prediction
por: Borghini, Davide, et al.
Publicado: (2025)
por: Borghini, Davide, et al.
Publicado: (2025)
Towards DNA-Encoded Library Generation with GFlowNets
por: Koziarski, Michał, et al.
Publicado: (2024)
por: Koziarski, Michał, et al.
Publicado: (2024)
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
por: Stock, Michiel, et al.
Publicado: (2024)
por: Stock, Michiel, et al.
Publicado: (2024)
Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges
por: Raghuvamsi, Palur Venkata, et al.
Publicado: (2025)
por: Raghuvamsi, Palur Venkata, et al.
Publicado: (2025)
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
por: Zuo, Wenxuan, et al.
Publicado: (2024)
por: Zuo, Wenxuan, et al.
Publicado: (2024)
Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations
por: Yang, Tianjian, et al.
Publicado: (2025)
por: Yang, Tianjian, et al.
Publicado: (2025)
An ADMM approach for multi-response regression with overlapping groups and interaction effects
por: Asenso, Theophilus Quachie, et al.
Publicado: (2023)
por: Asenso, Theophilus Quachie, et al.
Publicado: (2023)
Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data
por: Frank, Robert, et al.
Publicado: (2025)
por: Frank, Robert, et al.
Publicado: (2025)
Association between nutritional factors, inflammatory biomarkers and cancer types: an analysis of NHANES data using machine learning
por: Liu, Yuqing, et al.
Publicado: (2025)
por: Liu, Yuqing, et al.
Publicado: (2025)
Ejemplares similares
-
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
por: Espinel-Ríos, Sebastián, et al.
Publicado: (2024) -
Maximum likelihood estimates of diffusion coefficients from single-particle tracking experiments
por: Bullerjahn, Jakob Tómas, et al.
Publicado: (2020) -
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
por: Adamczyk, Jakub, et al.
Publicado: (2024) -
Feature selection revisited in the single-cell era
por: Yang, Pengyi, et al.
Publicado: (2021) -
Inferring processes within dynamic forest models using hybrid modeling
por: Pichler, Maximilian, et al.
Publicado: (2025)