Copertina

CARTEpigenoQC: A Quality Control Toolkit for CAR-T Single-Cell Epigenomic Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Lai, Kaitao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Genomics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

HybridQC: Machine Learning-Augmented Quality Control for Single-Cell RNA-seq Data
di: Lai, Kaitao
Pubblicazione: (2025)

SimOmics: A Simulation Toolkit for Multivariate and Multi-Omics Data
di: Lai, Kaitao
Pubblicazione: (2025)

MicroTrace: A Lightweight R Tool for SNP-Based Pathogen Clustering in Outbreak Detection
di: Lai, Kaitao
Pubblicazione: (2025)

AMRScan: A hybrid R and Nextflow toolkit for rapid antimicrobial resistance gene detection from sequencing data
di: Lai, Kaitao
Pubblicazione: (2025)

ViralQC: A Tool for Assessing Completeness and Contamination of Predicted Viral Contigs
di: Peng, Cheng, et al.
Pubblicazione: (2025)

Validation of sorghum quality control (QC) markers across African breeding lines
di: Davis M. Gimode, et al.
Pubblicazione: (2024)

Single-Cell Omics Arena: A Benchmark Study for Large Language Models on Cell Type Annotation Using Single-Cell Data
di: Liu, Junhao, et al.
Pubblicazione: (2024)

A New Framework for Explainable Rare Cell Identification in Single-Cell Transcriptomics Data
di: Su, Di, et al.
Pubblicazione: (2026)

Nephrobase Cell+: Multimodal Single-Cell Foundation Model for Decoding Kidney Biology
di: Li, Chenyu, et al.
Pubblicazione: (2025)

Multiscale Grassmann Manifolds for Single-Cell Data Analysis
di: Wang, Xiang Xiang, et al.
Pubblicazione: (2025)

A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations
di: Gondal, Mahnoor N., et al.
Pubblicazione: (2024)

Superimposed Hi-C: A Solution Proposed for Identifying Single Cell's Chromosomal Interactions
di: Zhang, Jia, et al.
Pubblicazione: (2024)

GP-DHT: A Dual-Head Transformer with Contras-tive Learning for Predicting Gene Regulatory Rela-tionships across Species from Single-Cell Data
di: Yan, Shuai, et al.
Pubblicazione: (2026)

Scalable Amortized GPLVMs for Single Cell Transcriptomics Data
di: Zhao, Sarah, et al.
Pubblicazione: (2024)

A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
di: Iwashita, Yuichiro, et al.
Pubblicazione: (2026)

ORBIT: Learning Gene Program Co-Activation Structure for Cell-Type-Stratified Pathway Rewiring Analysis in Single-Cell Transcriptomics
di: Wang, Yuechen, et al.
Pubblicazione: (2026)

Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective
di: Ge, Shuang, et al.
Pubblicazione: (2024)

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective
di: Xiao, Meng, et al.
Pubblicazione: (2025)

TopoLa: A Universal Framework to Enhance Cell Representations for Single-cell and Spatial Omics through Topology-encoded Latent Hyperbolic Geometry
di: Zheng, Kai, et al.
Pubblicazione: (2025)

Deep Learning-based Feature Discovery for Decoding Phenotypic Plasticity in Pediatric High-Grade Gliomas Single-Cell Transcriptomics
di: Uthamacumaran, Abicumaran
Pubblicazione: (2025)

Predicting Breast Cancer Phenotypes from Single-cell RNA-seq Data Using CloudPred
di: Moghimianavval, Hossein, et al.
Pubblicazione: (2024)

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

SiCmiR Atlas: Single-Cell miRNA Landscapes Reveals Hub-miRNA and Network Signatures in Human Cancers
di: Cai, Xiao-Xuan, et al.
Pubblicazione: (2025)

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data
di: Toledo, Maria De La Luz Lomboy, et al.
Pubblicazione: (2026)

Inflammatory Cell Interactions in the Rotator Cuff Microenvironment: Insights From Single‐Cell Sequencing
di: Wencai Liu, et al.
Pubblicazione: (2025)

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

Geometry-First Generative Spatial Single-Cell Reconstruction
di: Azim, Ehtesamul, et al.
Pubblicazione: (2026)

Effects of Training Data Quality on Classifier Performance
di: Karr, Alan F., et al.
Pubblicazione: (2026)

GeneMamba: An Efficient and Effective Foundation Model on Single Cell Data
di: Qi, Cong, et al.
Pubblicazione: (2025)

Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
di: Wen, Hongzhi, et al.
Pubblicazione: (2023)

Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics
di: Kendiukhov, Ihor
Pubblicazione: (2026)

Single‐Cell Transcriptomics Reveals the Potential Role of GZMK+ CD8+ T Cells in Cell Senescence of Triple‐Negative Breast Cancer
di: Dan Zhou, et al.
Pubblicazione: (2026)

scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling
di: Huang, Yu-An, et al.
Pubblicazione: (2025)

Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics
di: Qi, Jiaxin, et al.
Pubblicazione: (2025)

Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
di: Palla, Giovanni, et al.
Pubblicazione: (2025)

PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
di: Yu, Chenglei, et al.
Pubblicazione: (2026)

A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data
di: Ahn, Seungjun, et al.
Pubblicazione: (2025)

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

Single‐Cell RNA Sequencing Reveals Dynamic Expression Patterns of MAIT Cells and Macrophage Subpopulations in Myocardial Injury Model
di: Haofei Kang, et al.
Pubblicazione: (2026)

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