Prediction of standard cell types and functional markers from textual descriptions of flow cytometry gating definitions using machine learning-Reference-Cited by-同舟云学术

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Prediction of standard cell types and functional markers from textual descriptions of flow cytometry gating definitions using machine learning

Published:2022-03-07 Issue:3 Volume:102 Page:220-227
ISSN:1552-4949
Container-title:Cytometry Part B: Clinical Cytometry
language:en
Short-container-title:Cytometry Part B Clinical

Author:

Rodriguez‐Esteban Raul¹^ORCID,Duarte José¹,Teixeira Priscila C.¹,Richard Fabien¹,Koltsova Svetlana²,So W. Venus³

Affiliation:

1. Roche Pharmaceutical Research and Early Development Roche Innovation Center Basel Basel Switzerland

2. Curation Department Rancho BioSciences LLC San Diego California USA

3. Roche Pharmaceutical Research and Early Development Roche Innovation Center New York New York USA

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.b.22065

Reference32 articles.

1. ImmPort, toward repurposing of open access immunological assay data for translational and clinical research

2. Biomarker definitions and their applications

3. A chromatic explosion: the development and future of multiparameter flow cytometry

4. Protein ontology on the semantic web for knowledge discovery

5. The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Issue Highlights—May 2022;Cytometry Part B: Clinical Cytometry;2022-05

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