Mini Review
Accepted on 24 Mar 2025
Mini-review: Primer on Machine Learning Applications in Brain Immunology
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2025.1554010
- 117 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
- 772 views
Editorial
Published on 08 Oct 2024
Editorial: Women in bioinformatics
in Single Cell Bioinformatics
Frontiers in Bioinformatics
doi 10.3389/fbinf.2024.1499514
- 798 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
- 5,818 views
- 5 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
- 3,222 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
- 2,124 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
- 1,562 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
- 3,434 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
- 2,936 views
- 1 citation