[PDF][PDF] Prior knowledge and sampling model informed learning with single cell rna-seq data
Single cell RNA-seq (scRNA-seq) experiments can provide a wealth of information about
heterogeneous, multi-cellular systems. However, this information has to be inferred …
heterogeneous, multi-cellular systems. However, this information has to be inferred …
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge
Motivation Single cell RNA-seq (scRNA-seq) data contains a wealth of information which
has to be inferred computationally from the observed sequencing reads. As the ability to …
has to be inferred computationally from the observed sequencing reads. As the ability to …
scRNA-seq mixology: towards better benchmarking of single cell RNA-seq analysis methods
Single cell RNA sequencing (scRNA-seq) technology has undergone rapid development in
recent years, bringing with it new challenges in data processing and analysis. This has led …
recent years, bringing with it new challenges in data processing and analysis. This has led …
Non-negative Independent Factor Analysis for single cell RNA-seq
Motivation Single cell RNA sequencing (scRNA-seq) enables transcriptional profiling at the
level of individual cells. With the emergence of high-throughput platforms datasets …
level of individual cells. With the emergence of high-throughput platforms datasets …
Using Neural Networks to Improve Single Cell RNA-Seq Data Analysis
While only recently developed, the ability to profile expression data in single cells (scRNA-
Seq) has already led to several important studies and findings. However, this technology …
Seq) has already led to several important studies and findings. However, this technology …
One Cell At a Time: A Unified Framework to Integrate and Analyze Single-cell RNA-seq Data
CX Wang, L Zhang, B Wang - bioRxiv, 2021 - biorxiv.org
The surge of single-cell RNA sequencing technologies gives rise to the abundance of large
single-cell RNA-seq datasets at the scale of hundreds of thousands of single cells …
single-cell RNA-seq datasets at the scale of hundreds of thousands of single cells …
One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data
Integrative analysis of large-scale single-cell RNA sequencing (scRNA-seq) datasets can
aggregate complementary biological information from different datasets. However, most …
aggregate complementary biological information from different datasets. However, most …
Monet: An open-source Python package for analyzing and integrating scRNA-Seq data using PCA-based latent spaces
F Wagner - bioRxiv, 2020 - biorxiv.org
Single-cell RNA-Seq is a powerful technology that enables the transcriptomic profiling of the
different cell populations that make up complex tissues. However, the noisy and high …
different cell populations that make up complex tissues. However, the noisy and high …
Information-theory-based benchmarking and feature selection algorithm improve cell type annotation and reproducibility of single cell RNA-seq data analysis …
Single cell RNA sequencing (scRNA-seq), which promises to enable the quantitative study
of biological processes at the single cell level, are now a routine part of experimental …
of biological processes at the single cell level, are now a routine part of experimental …
UNCURL-App: Interactive database-driven analysis of scRNA-Seq data
Motivation Analysis of single cell RNA sequencing (scRNA-seq) datasets is a complex and
time-consuming process, requiring both biological knowledge and technical skill. With the …
time-consuming process, requiring both biological knowledge and technical skill. With the …