Mini Review
Published on 17 Apr 2025
Primer on machine learning applications in brain immunology
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2025.1554010
- 886 views
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9 articles
Technology and Code
Published on 12 Feb 2025
Seurat function argument values in scRNA-seq data analysis: potential pitfalls and refinements for biological interpretation
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2025.1519468
- 1,118 views
Editorial
Published on 08 Oct 2024
Editorial: Women in bioinformatics
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2024.1499514
- 938 views
Mini Review
Published on 08 Jul 2024
A systematic overview of single-cell transcriptomics databases, their use cases, and limitations
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2024.1417428
- 6,292 views
- 6 citations
Original Research
Published on 04 Mar 2024
Predicting cell population-specific gene expression from genomic sequence
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2024.1347276
- 3,367 views
- 2 citations
Original Research
Published on 04 Mar 2024
Detecting subtle transcriptomic perturbations induced by lncRNAs knock-down in single-cell CRISPRi screening using a new sparse supervised autoencoder neural network
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2024.1340339
- 2,300 views
- 1 citation
Methods
Published on 10 Aug 2023
Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2023.1211819
- 1,654 views
Original Research
Published on 15 May 2023
Gene representation in scRNA-seq is correlated with common motifs at the 3′ end of transcripts
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2023.1120290
- 3,555 views
- 1 citation
Original Research
Published on 12 Apr 2023
Gene length is a pivotal feature to explain disparities in transcript capture between single transcriptome techniques
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2023.1144266
- 3,024 views
- 1 citation