Pages that link to "Item:Q1647646"
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The following pages link to A unified statistical framework for single cell and bulk RNA sequencing data (Q1647646):
Displaying 13 items.
- MSIQ: joint modeling of multiple RNA-seq samples for accurate isoform quantification (Q1647636) (← links)
- A unified statistical framework for single cell and bulk RNA sequencing data (Q1647646) (← links)
- Nonparametric Bayesian multiarmed bandits for single-cell experiment design (Q2078782) (← links)
- Benchmarking penalized regression methods in machine learning for single cell RNA sequencing data (Q2163973) (← links)
- Unsupervised integration of single-cell multi-omics datasets with disproportionate cell-type representation (Q2170117) (← links)
- Model-based approach to the joint analysis of single-cell data on chromatin accessibility and gene expression (Q2218013) (← links)
- Data denoising and post-denoising corrections in single cell RNA sequencing (Q2218028) (← links)
- A kernel non-negative matrix factorization framework for single cell clustering (Q2241802) (← links)
- Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data (Q4999115) (← links)
- Supervised Adversarial Alignment of Single-Cell RNA-seq Data (Q5041799) (← links)
- Kinetic Foundation of the Zero-Inflated Negative Binomial Model for Single-Cell RNA Sequencing Data (Q5113806) (← links)
- Detection of differentially expressed genes in discrete single‐cell RNA sequencing data using a hurdle model with correlated random effects (Q5121015) (← links)
- A zero-inflated non-negative matrix factorization for the deconvolution of mixed signals of biological data (Q6637091) (← links)
