CORRECTION
Published on 06 Feb 2020
Corrigendum: Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data
doi 10.3389/fgene.2019.01373
- 2,444 views
- 7 citations
- Frontiers in Genetics
- Statistical Genetics and Methodology
- Research Topics
- Single-Cell Data Analysis: Resources, Challenges and Perspectives
Single-Cell Data Analysis: Resources, Challenges and Perspectives
16k
Total downloads
71k
Total views and downloads
Articles
ERRATUM
Published on 05 Feb 2020
Erratum: Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
doi 10.3389/fgene.2020.00084
- 1,653 views
TECHNOLOGY REPORT
Published on 25 Oct 2019
Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data
doi 10.3389/fgene.2019.00978
- 15,495 views
- 36 citations
REVIEW
Published on 17 Oct 2019
Single-Cell Analysis of Circulating Tumor Cells: How Far Have We Come in the -Omics Era?
doi 10.3389/fgene.2019.00958
- 13,796 views
- 58 citations
TECHNOLOGY REPORT
Published on 09 Oct 2019
MTGO-SC, A Tool to Explore Gene Modules in Single-Cell RNA Sequencing Data
doi 10.3389/fgene.2019.00953
- 5,556 views
- 3 citations
BRIEF RESEARCH REPORT
Published on 09 Aug 2019
A Tool for Visualization and Analysis of Single-Cell RNA-Seq Data Based on Text Mining
doi 10.3389/fgene.2019.00734
- 11,042 views
- 16 citations
ORIGINAL RESEARCH
Published on 21 Jun 2019
Identification via Numerical Computation of Transcriptional Determinants of a Cell Phenotype Decision Making
doi 10.3389/fgene.2019.00575
- 1,688 views
- 11 citations
ORIGINAL RESEARCH
Published on 22 May 2019
Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
doi 10.3389/fgene.2019.00500
- 9,888 views
- 28 citations
