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| P50 | author | George Tzotzos | Q52610293 |
| Andrew J Doig | Q42547635 | ||
| Kathryn E Hentges | Q47164161 | ||
| P2093 | author name string | David Tian | |
| Mitra Kabir | |||
| Stephanie Wenlock | |||
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | machine learning | Q2539 |
| Cytoscape | Q3699942 | ||
| Bayes' theorem | Q182505 | ||
| P433 | issue | 12 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | machine learning | Q2539 |
| P304 | page(s) | dmm034546 | |
| P577 | publication date | 2018-12-13 | |
| P1433 | published in | Disease Models & Mechanisms | Q1524006 |
| P1476 | title | Identifying mouse developmental essential genes using machine learning | |
| P478 | volume | 11 |
| Q91641872 | Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features |
| Q91834102 | Loss of UGP2 in brain leads to a severe epileptic encephalopathy, emphasizing that bi-allelic isoform-specific start-loss mutations of essential genes can cause genetic diseases |
| Q92852489 | Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation |
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