Statistical and Machine Learning Contributions to the Analysis of Single-Cell RNA Sequencing Data
S Cui - 2024 - search.proquest.com
Single-cell RNA sequencing (scRNA-seq) has become widely adopted as a powerful
technology enabling whole transcriptome profiling of individual cells. Nevertheless, the …
technology enabling whole transcriptome profiling of individual cells. Nevertheless, the …
[PDF][PDF] Statistical and Machine Learning Contributions to the Analysis of Single-Cell RNA Sequencing Data
S Cui - researchdiscovery.drexel.edu
Single-cell RNA sequencing (scRNA-seq) data presents challenges including high dropout
rates, noise, and technical variabilities, which can impede downstream clustering and …
rates, noise, and technical variabilities, which can impede downstream clustering and …
Statistical and Machine Learning Contributions to the Analysis of Single-Cell RNA Sequencing Data
S Cui - 2024 - researchdiscovery.drexel.edu
Single-cell RNA sequencing (scRNA-seq) has become widely adopted as a powerful
technology enabling whole transcriptome profiling of individual cells. Nevertheless, the …
technology enabling whole transcriptome profiling of individual cells. Nevertheless, the …