Cover Image

Learning Identifiable Factorized Causal Representations of Cellular Responses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mao, Haiyi, Lopez, Romain, Liu, Kai, Hütter, Jan-Christian, Richmond, David, Benos, Panayiotis V., Qiu, Lin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction
by: Maleki, Sepideh, et al.
Published: (2024)

Interpretable Causal Representation Learning for Biological Data in the Pathway Space
by: de la Fuente, Jesus, et al.
Published: (2025)

Contextualizing biological perturbation experiments through language
by: Wu, Menghua, et al.
Published: (2025)

Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children
by: Wei, Mengman, et al.
Published: (2025)

Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
by: Scholkemper, Michael, et al.
Published: (2026)

Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
by: Xu, Kaichen, et al.
Published: (2025)

Beware of so-called 'good' correlations: a statistical reality check on individual mRNA-protein predictions
by: Gosselin, Romain-Daniel
Published: (2025)

AI Detectors are Poor Western Blot Classifiers: A Study of Accuracy and Predictive Values
by: Gosselin, Romain-Daniel
Published: (2024)

Rank Ordering of Species Sensitivities to Chemicals: Discrepancies between Behavioral and Lethal Responses in Freshwater and Marine Invertebrates
by: Mocq, Julien, et al.
Published: (2025)

Causal Representation Learning from Multimodal Biomedical Observations
by: Sun, Yuewen, et al.
Published: (2024)

A Novel Method for Clustering Cellular Data to Improve Classification
by: Wheeler, Diek W., et al.
Published: (2024)

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
by: Strobl, Eric V.
Published: (2025)

A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl
by: Liyanage, Yuganthi R., et al.
Published: (2025)

AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
by: De Brouwer, Edward, et al.
Published: (2026)

Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition
by: Bian, Shirui, et al.
Published: (2024)

CEI: A Clonal Expansion Identifier for T-cell receptor clones following SARS-CoV-2 vaccination
by: Pan, Yunbei, et al.
Published: (2026)

FoldSAE: Learning to Steer Protein Folding Through Sparse Representations
by: Zarzecki, Wojciech, et al.
Published: (2025)

Co-mapping Cellular Content and Extracellular Matrix with Hemodynamics in Intact Arterial Tissues Using Scanning Immunofluorescent Multiphoton Microscopy
by: Tobe, Yasutaka, et al.
Published: (2023)

Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting
by: Liyanage, Yuganthi R., et al.
Published: (2025)

In Silico Functional Profiling of Engineered Small Molecules: A Machine Learning Approach Leveraging PubChem Identifiers (CID_SID ML model)
by: Ivanova, Mariya L., et al.
Published: (2025)

Learning Molecular Representation in a Cell
by: Liu, Gang, et al.
Published: (2024)

VIGIL: Vision-Language Guided Multiple Instance Learning Framework for Ulcerative Colitis Histological Healing Prediction
by: Qiu, Zhengxuan, et al.
Published: (2025)

Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)

Unveiling Scaling Laws of Parameter Identifiability and Uncertainty Quantification in Data-Driven Biological Modeling
by: Wang, Shun, et al.
Published: (2026)

Identifying Cocoa Pollinators: A Deep Learning Dataset
by: Xu, Wenxiu, et al.
Published: (2024)

No Generation without Representation: Efficient Causal Protein Language Models Enable Zero-Shot Fitness Estimation
by: Eris, Furkan
Published: (2026)

Comparing Bayesian and Frequentist Inference in Biological Models: A Comparative Analysis of Accuracy, Uncertainty, and Identifiability
by: Mohammed, Mohammed A. Y., et al.
Published: (2025)

A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology
by: Wang, Shun, et al.
Published: (2025)

Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression
by: Wang, Jindong, et al.
Published: (2025)

Modeling PROTAC Degradation Activity with Machine Learning
by: Ribes, Stefano, et al.
Published: (2024)

Cellular diffusion processes in singularly perturbed domains
by: Bressloff, Paul C
Published: (2024)

Identifying Therapeutic Targets for Triple-Negative Breast Cancer using a Novel Mathematical Model of the Tumor Microenvironment
by: Adams, Kyle, et al.
Published: (2026)

Accelerating the Generation of Molecular Conformations with Progressive Distillation of Equivariant Latent Diffusion Models
by: Lacombe, Romain, et al.
Published: (2024)

Protein folding classes -- High-dimensional geometry of amino acid composition space revisited
by: Mao, Boryeu
Published: (2025)

Canonicalization of the E value from BLAST similarity search -- dissimilarity measure and distance function for a metric space of protein sequences
by: Mao, Boryeu
Published: (2025)

Response of Different Tomato Accessions to Biotic and Abiotic Stresses
by: Rasul, Kamaran Salh, et al.
Published: (2024)

SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
by: Zhang, Jiying, et al.
Published: (2024)

Learning Normal Representations for Blood Biomarkers
by: Shah, Aashna P., et al.
Published: (2026)

Assessing the Utility of Large Language Models for Phenotype-Driven Gene Prioritization in Rare Genetic Disorder Diagnosis
by: Kim, Junyoung, et al.
Published: (2024)

Riemannian vs. Euclidean Representation of Gait Kinematics: A Comparative Analysis
by: Bůžek, Tomáš
Published: (2025)