Revealing the grammar of small RNA secretion using interpretable machine learning Article Swipe

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Bahar Zirak , Mohsen Naghipourfar , Alihossein Saberi , Delaram Pouyabahar , Amirhossein Zarezadeh , Lixi Luo , Lisa Fish , Doowon Huh , Albertas Navickas , Ali Sharifi‐Zarchi , Hani Goodarzi ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1016/j.xgen.2024.100522

Related Topics

Rna

Computational Biology

Secretion

Biology

Artificial Intelligence

Computer Science

Biochemistry

Concepts

RNA Computational biology Secretion Biology Non-coding RNA Interactome Artificial intelligence Computer science Genetics Gene Biochemistry

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.xgen.2024.100522
PDF: http://www.cell.com/article/S2666979X24000648/pdf
OA Status: gold
Cited By: 2
References: 48
Related Works: 10
OpenAlex ID: https://openalex.org/W4392584688

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OpenAlex ID: https://openalex.org/W4392584688

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DOI: https://doi.org/10.1016/j.xgen.2024.100522

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Title: Revealing the grammar of small RNA secretion using interpretable machine learning

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-03-08

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Authors: Bahar Zirak, Mohsen Naghipourfar, Alihossein Saberi, Delaram Pouyabahar, Amirhossein Zarezadeh, Lixi Luo, Lisa Fish, Doowon Huh, Albertas Navickas, Ali Sharifi‐Zarchi, Hani Goodarzi

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Landing page: https://doi.org/10.1016/j.xgen.2024.100522

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PDF URL: https://www.cell.com/article/S2666979X24000648/pdf

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OA status: gold

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OA URL: https://www.cell.com/article/S2666979X24000648/pdf

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Concepts: RNA, Computational biology, Secretion, Biology, Non-coding RNA, Interactome, Artificial intelligence, Computer science, Genetics, Gene, Biochemistry

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Cited by: 2

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Citations by year (recent): 2025: 1, 2024: 1

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References (count): 48

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referenced_works_count	48
abstract_inverted_index
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corresponding_author_ids	https://openalex.org/A5084845496, https://openalex.org/A5015450985, https://openalex.org/A5082951092
countries_distinct_count	5
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citation_normalized_percentile.value	0.66526444
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False