Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures-Reference-Cited by-同舟云学术

Machine-Learning-Based Single-Molecule Quantification of Circulating MicroRNA Mixtures

Published:2023-10-04 Issue:10 Volume:8 Page:3781-3792
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Jeffet Jonathan¹²³^ORCID,Mondal Sayan²³^ORCID,Federbush Amit¹⁴,Tenenboim Nadav¹²³,Neaman Miriam²⁵,Deek Jasline²,Ebenstein Yuval²⁶³⁷^ORCID,Bar-Sinai Yohai¹⁴⁷

Affiliation:

1. School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel

2. School of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 6997801, Israel

3. Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv 6997801, Israel

4. The Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel

5. Department of Hematology, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel

6. Department of Biomedical Engineering, Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel

7. Center for AI & Data Science (TAD), Tel Aviv University, Tel Aviv 6997801, Israel

Funder

Israel Science Foundation

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.3c01234

Reference47 articles.

1. Regulation of microRNA biogenesis

2. Metazoan MicroRNAs

3. Most mammalian mRNAs are conserved targets of microRNAs

4. The microcosmos of cancer

5. MicroRNAs in body fluids—the mix of hormones and biomarkers

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