EDITORIAL
Published on 03 Jun 2022
Editorial: Machine Learning and Mathematical Models for Single-Cell Data Analysis
doi 10.3389/fgene.2022.911999
- 1,390 views
- Frontiers in Genetics
- Computational Genomics
- Research Topics
- Machine Learning and Mathematical Models for Single-Cell Data Analysis
Machine Learning and Mathematical Models for Single-Cell Data Analysis
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Articles
METHODS
Published on 04 Feb 2022
DecOT: Bulk Deconvolution With Optimal Transport Loss Using a Single-Cell Reference
doi 10.3389/fgene.2022.825896
- 3,066 views
- 2 citations
ORIGINAL RESEARCH
Published on 01 Feb 2022
Machine Learning of Single Cell Transcriptomic Data From anti-PD-1 Responders and Non-responders Reveals Distinct Resistance Mechanisms in Skin Cancers and PDAC
doi 10.3389/fgene.2021.806457
- 3,687 views
- 4 citations
CORRECTION
Published on 27 Jan 2022
Corrigendum: MultiCapsNet: A General Framework for Data Integration and Interpretable Classification
doi 10.3389/fgene.2021.822045
- 596 views
- 1 citation
METHODS
Published on 18 Jan 2022
MultiCapsNet: A General Framework for Data Integration and Interpretable Classification
doi 10.3389/fgene.2021.767602
- 2,489 views
- 5 citations
ORIGINAL RESEARCH
Published on 11 Nov 2021
Identification of Intercellular Signaling Changes Across Conditions and Their Influence on Intracellular Signaling Response From Multiple Single-Cell Datasets
doi 10.3389/fgene.2021.751158
- 8,699 views
- 13 citations
ORIGINAL RESEARCH
Published on 11 Nov 2021
Inferring Differential Networks by Integrating Gene Expression Data With Additional Knowledge
doi 10.3389/fgene.2021.760155
- 1,454 views
ORIGINAL RESEARCH
Published on 08 Nov 2021
Hybrid Clustering of Single-Cell Gene Expression and Spatial Information via Integrated NMF and K-Means
doi 10.3389/fgene.2021.763263
- 2,831 views
- 3 citations
METHODS
Published on 15 Sep 2021
Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry
doi 10.3389/fgene.2021.721229
- 4,705 views
- 14 citations
REVIEW
Published on 21 May 2021
A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis
doi 10.3389/fgene.2021.652974
- 3,668 views
- 8 citations
Published in
Frontiers in Genetics
- Computational Genomics
Participating Journals
Frontiers in Bioengineering and Biotechnology
Computational GenomicsOffline
- 4.3 impact factor
- 8.3 citescore
Frontiers in Plant Science
Computational GenomicsOffline
- 4.1 impact factor
- 7.3 citescore
Impact
- 40kTopic views
- 28kArticle views
- 11kArticle downloads