Buchumschlag

Exponential family measurement error models for single-cell CRISPR screens

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Barry, Timothy, Roeder, Kathryn, Katsevich, Eugene
Format:	Preprint
Veröffentlicht:	2022
Schlagworte:	Methodology Applications
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

The permuted score test for robust differential expression analysis
von: Barry, Timothy, et al.
Veröffentlicht: (2025)

The conditional saddlepoint approximation for fast and accurate large-scale hypothesis testing
von: Niu, Ziang, et al.
Veröffentlicht: (2024)

Sparse group principal component analysis via double thresholding with application to multi-cellular programs
von: Xu, Qi, et al.
Veröffentlicht: (2026)

Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
von: Moon, Haeun, et al.
Veröffentlicht: (2024)

Adaptive Projected Two-Sample Comparisons for Single-Cell Gene Expression Data
von: Zhang, Tianyu, et al.
Veröffentlicht: (2024)

Assumption-Lean Post-Integrated Inference with Surrogate Control Outcomes
von: Du, Jin-Hong, et al.
Veröffentlicht: (2024)

High-dimensional log contrast models with measurement errors
von: Tan, Wenxi, et al.
Veröffentlicht: (2024)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
von: Du, Jin-Hong, et al.
Veröffentlicht: (2024)

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
von: Liu, Yusha, et al.
Veröffentlicht: (2022)

A New Lifetime Distribution: Exponentiated Exponential-Pareto-HalfNormal Mixture Model for Biomedical Applications
von: Hassan, Oriyomi Ahmad, et al.
Veröffentlicht: (2025)

Robust inference for linear regression models with possibly skewed error distribution
von: Nandy, Amarnath, et al.
Veröffentlicht: (2024)

Improving exponential-family random graph models for bipartite networks
von: Stivala, Alex, et al.
Veröffentlicht: (2025)

Addressing errors in multiple variables using generalized raking and cumulative probability models
von: Kawaguchi, Eric S., et al.
Veröffentlicht: (2026)

Determining vaccine responders in the presence of baseline immunity using single-cell assays and paired control samples
von: Chen, Zhe, et al.
Veröffentlicht: (2025)

A monotone single index model for spatially referenced multistate current status data
von: Das, Snigdha, et al.
Veröffentlicht: (2025)

Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
von: Kuha, Jouni, et al.
Veröffentlicht: (2021)

A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology
von: Lee, Changwoo J., et al.
Veröffentlicht: (2024)

Distribution-free screening of spatially variable genes in spatial transcriptomics
von: Wang, Changhu, et al.
Veröffentlicht: (2026)

Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
von: Lotspeich, Sarah C., et al.
Veröffentlicht: (2025)

Increasing power and robustness in screening trials by testing stored specimens in the control arm
von: Katki, Hormuzd A., et al.
Veröffentlicht: (2024)

An Exponential-Polynomial Divergence-based Robust Information Criterion for Linear Panel Data Models and Neural Networks
von: Goswami, Udita, et al.
Veröffentlicht: (2026)

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
von: Fan, Yefeng, et al.
Veröffentlicht: (2025)

Clustering functional data with measurement errors: a simulation-based approach
von: Zhu, Tingyu, et al.
Veröffentlicht: (2024)

Valid standard errors for Bayesian quantile regression with clustered and independent data
von: Ji, Feng, et al.
Veröffentlicht: (2024)

Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
von: Chen, Yuting, et al.
Veröffentlicht: (2025)

Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
von: Sáo, Yuri Taglieri, et al.
Veröffentlicht: (2025)

Valid F-screening in linear regression
von: McGough, Olivia, et al.
Veröffentlicht: (2025)

Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
von: Castel, Charlotte, et al.
Veröffentlicht: (2024)

Online detection of forecast model inadequacies using forecast errors
von: Grundy, Thomas, et al.
Veröffentlicht: (2025)

Conformal inference for cell type annotation with graph-structured constraints
von: Corbetta, Daniela, et al.
Veröffentlicht: (2024)

Mixture-of-experts Wishart model for covariance matrices with an application to Cancer drug screening
von: Mai, The Tien, et al.
Veröffentlicht: (2026)

Correspondence analysis: handling cell-wise outliers via the reconstitution algorithm
von: Qi, Qianqian, et al.
Veröffentlicht: (2024)

Tree models for covariate-dependent method agreement with repeated measurements in clinical research
von: Karapetyan, Siranush, et al.
Veröffentlicht: (2026)

A New Approach to Radiocarbon Summarisation: Rigorous Identification of Variations/Changepoints in the Occurrence Rate of Radiocarbon Samples using a Poisson Process
von: Heaton, Timothy J, et al.
Veröffentlicht: (2025)

Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
von: Garraza, Lucas Godoy, et al.
Veröffentlicht: (2024)

Combining BART and Principal Stratification to estimate the effect of intermediate on primary outcomes with application to estimating the effect of family planning on employment in sub-Saharan Africa
von: Garraza, Lucas Godoy, et al.
Veröffentlicht: (2024)

Detecting influential observations in single-index Fréchet regression
von: Soale, Abdul-Nasah
Veröffentlicht: (2023)

Forecast Linear Augmented Projection (FLAP): A free lunch to reduce forecast error variance
von: Yang, Yangzhuoran Fin, et al.
Veröffentlicht: (2024)

Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
von: Menacher, Anna, et al.
Veröffentlicht: (2024)

Bayesian semiparametric modelling of biomarker variability in joint models
von: Chen, Sida, et al.
Veröffentlicht: (2025)