Cover Image

A Bayesian approach to model uncertainty in single-cell genomic data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Shanshan, Bartlett, Thomas E., Gerontogianni, Lina, Chandna, Swati
Format:	Preprint
Published:	2025
Subjects:	Genomics Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deciphering regulatory architectures from synthetic single-cell expression patterns
by: Pan, Rosalind Wenshan, et al.
Published: (2024)

scDiffusion: conditional generation of high-quality single-cell data using diffusion model
by: Luo, Erpai, et al.
Published: (2024)

CIBRA identifies genomic alterations with a system-wide impact on tumor biology
by: Lakbir, Soufyan, et al.
Published: (2024)

Parameter-free representations outperform single-cell foundation models on downstream benchmarks
by: Souza, Huan, et al.
Published: (2026)

scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
by: Sun, Jianle, et al.
Published: (2025)

Integrate Any Omics: Towards genome-wide data integration for patient stratification
by: Ma, Shihao, et al.
Published: (2024)

Hierarchical novel class discovery for single-cell transcriptomic profiles
by: Senoussi, Malek, et al.
Published: (2024)

CEP-IP: An Explainable Framework for Cell Subpopulation Identification in Single-cell Transcriptomics
by: Wong, Kah Keng
Published: (2025)

Methylation Operation Wizard (MeOW): Identification of differentially methylated regions in long-read sequencing data
by: Zalusky, Miranda PG, et al.
Published: (2024)

Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences
by: Jiang, Shiyu, et al.
Published: (2025)

Fine-tuning the ESM2 protein language model to understand the functional impact of missense variants
by: Saadat, Ali, et al.
Published: (2024)

Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells
by: Zhang, Han, et al.
Published: (2026)

pHapCompass: Probabilistic Assembly and Uncertainty Quantification of Polyploid Haplotype Phase
by: Hosseini, Marjan, et al.
Published: (2025)

BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models
by: Danziger, Michael M., et al.
Published: (2025)

Pathway Tools version 28.0: Integrated Software for Pathway/Genome Informatics and Systems Biology
by: Karp, Peter D., et al.
Published: (2015)

A comprehensive comparison of tools for fitting mutational signatures
by: Medo, Matúš, et al.
Published: (2023)

A CNN Approach to Polygenic Risk Prediction of Kidney Stone Formation
by: Salem, Amr, et al.
Published: (2024)

RawBench: A Comprehensive Benchmarking Framework for Raw Nanopore Signal Analysis Techniques
by: Eris, Furkan, et al.
Published: (2025)

SpikGPT: A High-Accuracy and Interpretable Spiking Attention Framework for Single-Cell Annotation
by: Huang, Min, et al.
Published: (2025)

Geometric coherence of single-cell CRISPR perturbations reveals regulatory architecture and predicts cellular stress
by: Raju, Prashant C.
Published: (2026)

Viral Dark Matter: Illuminating Protein Function, Ecology, and Biotechnological Promises
by: Kosmopoulos, James C., et al.
Published: (2025)

Refined HLA Linkage Disequilibrium Architectures of World Populations by a Novel Allelic Correlation Measure
by: Zhang, Fei, et al.
Published: (2025)

Single-Cell Proteomics Using Mass Spectrometry
by: Momenzadeh, Amanda, et al.
Published: (2025)

Phospho-Proteomics Method Optimization and Application to Stimulated Jurkat Cells
by: Ndungu, Teresia, et al.
Published: (2025)

From Mutation to Degradation: Predicting Nonsense-Mediated Decay with NMDEP
by: Saadat, Ali, et al.
Published: (2025)

MotifbreakR v2: extended capability and database integration
by: Coetzee, Simon G., et al.
Published: (2024)

DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases
by: Saadat, Ali, et al.
Published: (2024)

Objectively Evaluating the Reliability of Cell Type Annotation Using LLM-Based Strategies
by: Ye, Wenjin, et al.
Published: (2024)

Proteome-wide prediction of mode of inheritance and molecular mechanism underlying genetic diseases using structural interactomics
by: Saadat, Ali, et al.
Published: (2024)

RawHash2: Mapping Raw Nanopore Signals Using Hash-Based Seeding and Adaptive Quantization
by: Firtina, Can, et al.
Published: (2023)

RawAlign: Accurate, Fast, and Scalable Raw Nanopore Signal Mapping via Combining Seeding and Alignment
by: Lindegger, Joël, et al.
Published: (2023)

DiMA: Sequence Diversity Dynamics Analyser for Viruses
by: Tharanga, Shan, et al.
Published: (2022)

Lightning-fast adaptive immune receptor similarity search by symmetric deletion lookup
by: Chotisorayuth, Touchchai, et al.
Published: (2024)

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta
by: Emons, Martin, et al.
Published: (2024)

Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolution
by: de la Fuente, Jesus, et al.
Published: (2023)

Microbial and Viral Ecology Analysis for Metagenomic Data
by: Kosmopoulos, James C., et al.
Published: (2024)

StateXDiff: Cell State-Contextualized Multimodal Diffusion for Single-Cell Perturbation Prediction
by: Shi, Peiting, et al.
Published: (2026)

MetaCompass: Reference-guided Assembly of Metagenomes
by: Luan, Tu, et al.
Published: (2024)

On the importance of assessing topological convergence in Bayesian phylogenetic inference
by: Brusselmans, Marius, et al.
Published: (2024)

Normalization and selecting non-differentially expressed genes improve machine learning modelling of cross-platform transcriptomic data
by: Deng, Fei, et al.
Published: (2025)