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| LitCovid-AGAC: cellular and molecular level annotation data set based on COVID-19 |
| Sizhuo Ouyang, Yuxing Wang, Kaiyin Zhou, Jingbo Xia |
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Genomics Inform. 2021;19(3):e23 Published online September 30, 2021 DOI: https://doi.org/10.5808/gi.21013 |
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LitCovid-AGAC: cellular and molecular level annotation data set based on COVID-19 Genomics & Informatics. 2021;19(3):e23  LitCovid, iSearch COVID-19 portfolio, and COVID-19 Global literature on coronavirus disease Journal of the Medical Library Association. 2021;110(2): Iranian COVID-19 Publications in LitCovid: Text Mining and Topic Modeling Scientific Programming. 2021;2021:1-12 The Pattern of COVID-19 Transmission In China Based On The Data From 294 Prefecture-Level Cities . 2021; Curating Covid-19 Data in Links Provenance and Annotation of Data and Processes. 2021;237-243 Third party annotation gene data set of eutherian lysozyme genes Genomics Data. 2014;2:258-260 A level set-based approach for modeling cellular rearrangements in tissue morphogenesis . 2021; Do Weather Conditions Affect COVID-19 Epidemic? Evidence Based on Panel Data of Prefecture-level Administrative Regions in China . 2021; Experimental Details and Supplementary Data Carbohydrate-Based Interactions at the Molecular and the Cellular Level. 2018;137-198 LitCovid ensemble learning for COVID-19 multi-label classification Database. 2022;2022: |
