| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1033219559 |
| P356 | DOI | 10.1186/S12864-016-3317-7 |
| P932 | PMC publication ID | 5260093 |
| P698 | PubMed publication ID | 28155657 |
| P50 | author | Shyam Prabhakar | Q59749753 |
| P2093 | author name string | Takeshi Hase | |
| Hiroaki Kitano | |||
| Samik Ghosh | |||
| Yongli Hu | |||
| Lawrence Jin Kiat Wee | |||
| See Kiong Ng | |||
| Hui Peng Li | |||
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| P4510 | describes a project that uses | limma | Q112236343 |
| GSVA | Q113334751 | ||
| P433 | issue | Suppl 13 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | transcriptome | Q252857 |
| RNA sequencing | Q2542347 | ||
| machine learning | Q2539 | ||
| P304 | page(s) | 1025 | |
| P577 | publication date | 2016-12-22 | |
| P1433 | published in | BMC Genomics | Q15765854 |
| P1476 | title | A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data | |
| P478 | volume | 17 |
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