
Yuhao Chen
Articles
-
Jan 11, 2025 |
biorxiv.org | Yuhao Chen |Yan Zhang |Jiaqi Gan |Ke Ni
AbstractRNA velocities and generalizations emerge as powerful approaches for extracting time-resolved information from high-throughput snapshot single-cell data. Yet, several inherent limitations restrict applying the approaches to genes not suitable for RNA velocity inference due to complex transcriptional dynamics, low expression, or lacking splicing dynamics, or data of non-transcriptomic modality.
-
Dec 7, 2024 |
biorxiv.org | Yuhao Chen |Yan Zhang |Jiaqi Gan |Ke Ni
AbstractRNA velocities and generalizations emerge as powerful approaches for exacting dynamical information from high-throughput snapshot single-cell data. Several inherent limitations restrict applying the approaches to genes not suitable for RNA velocity inference due to complex transcriptional dynamics, low expression, or lacking splicing dynamics, and data of non-transcriptomic modality.
-
Sep 28, 2024 |
mdpi.com | Guang Liu |Yuhao Chen |Yang Cui |Lifang Shen
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
-
Sep 27, 2024 |
dev.to | Yuhao Chen
Isolation Level & Transaction AnomaliesIn relational databases, the isolation level of a transaction controls the visibility of data changes between transactions. Isolation levels define how one transaction is isolated from others in terms of read and write operations. By managing this isolation, you can prevent or allow certain types of transaction anomalies such as dirty reads, non-repeatable reads, and phantom reads.
-
Sep 27, 2024 |
dev.to | Yuhao Chen
INNER JOINLEFT JOIN (or LEFT OUTER JOIN)RIGHT JOIN (or RIGHT OUTER JOIN)FULL JOIN (or FULL OUTER JOIN)CROSS JOINAn INNER JOIN retrieves records that have matching values in both tables. If there is no match, the row will not be included in the result set. Example:Let’s say you have two tables: employees and departments.
Try JournoFinder For Free
Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.
Start Your 7-Day Free Trial →