Feature selection and dimension reduction for single|cell RNA|Seq ...

Is feature selection necessary before dimensional reduction in ...

What do you think about the feature selection part in single-cell RNA analysis? I am familiar with Seurat and 10X platform (Cell Ranger ). I ...

Chapter 3 Feature selection | Basics of Single-Cell Analysis with ...

We often use scRNA-seq data in exploratory analyses to characterize heterogeneity across cells. Procedures like clustering and dimensionality reduction ...

Joint learning dimension reduction and clustering of single-cell RNA ...

Current algorithms perform dimension reduction before cell clustering because of noises, high-dimensionality and linear inseparability of scRNA-seq data.

Feature Selection and Dimension Reduction for Single Cell RNA ...

AbstractSingle cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells. Recent scRNA-Seq datasets have incorporated unique molecular ...

Feature selection and dimensionality reduction

are suitable for most applications. If the data has been normalized by Normalize Single Cell Data, the log will contain estimates of the amount of biological ...

A Quantitative Framework for Evaluating Single-Cell Data Structure ...

All dimensionality reduction was performed on feature-selected data containing the most variable genes in each dataset. Genes were rank-ordered ...

Graph Based Feature Selection for Reduction of Dimensionality in ...

We used a graph-based approach, principal component analysis (PCA) and recursive feature elimination to select features for classification from RNAseq datasets.

supporting code for the multinomial single cell RNA-Seq paper

Feature Selection and Dimension Reduction for Single Cell RNA-Seq based on a Multinomial Model ... This repository contains supporting code to facilitate ...

(PDF) Feature Selection and Dimension Reduction for

Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model by F. William Townes, Stephanie C. Hicks, Martin J.

Single Cell papers - X

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model. https://t.co/SX6viLNyun.

Advances in Machine Learning, Statistical Methods, and AI ... - arXiv

Feature selection involves identifying the most informative genes from the scRNA-seq data to reduce dimensionality and focus the analysis on ...

Ming "Tommy" Tang's Post - LinkedIn

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model https://lnkd.in/eVYFSPSK.

FastRNA: An efficient solution for PCA of single-cell RNA ...

Almost always, the analysis of single-cell RNA-sequencing (scRNA-seq) data begins with the generation of the low dimensional embedding of ...

Feature selection in single-cell RNA sequencing data - Academia.edu

This study focuses on dimensionality reduction and cell-type identification in scRNA-seq data analysis.

Feature Selection in Single-Cell RNA-seq Data via a Genetic ...

We showcase our proposed framework's effectiveness in two real scRNA-seq experiments with gene dimensions up to 36708. Our framework can ...

Feature Selection and Dimension Reduction for Single Cell RNA ...

Abstract. Single cell RNA-Seq (scRNA-Seq) profiles gene expression of individ- ual cells. Recent scRNA-Seq datasets have incorporated unique ...

A Comparison for Dimensionality Reduction Methods of Single-Cell ...

It is found that t-distributed stochastic neighbor embedding yielded the best overall performance with the highest accuracy and computing cost, ...

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm ...

Dimensionality reduction of high-dimensional data is crucial for single-cell RNA sequencing (scRNA-seq) visualization and clustering. One ...

Chapter 5 More Dimension Reduction | A Guide to Analyzing Single ...

Single-cell data, such as scRNA-seq, typically includes thousands of genes (features) for each cell (sample). This results in high-dimensional data that can be ...

Feature selection and dimension reduction for single-cell RNA

Townes FW, Hicks SC, Aryee MJ, et al. Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model. Genome Biol. 2019;20:295.