Name
Abstract | ||
|---|---|---|
•VARIES SYSTEM for the purpose of variant classification with minimal or no prior expertise in AI, using auto-machine learning (AutoML).•VARIES could assist in lowering and filtering out the number of B and LB variants that would require manual curation by approximately 94% and 16%.•VARIES can build different prediction models from the same dataset. For example, a model that can predicts family information, HPO, or even family relatedness. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.compbiomed.2022.105492 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
Artificial intelligence,AI,MAI,Genomics,Prediction | Journal | 145 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 13 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Taghrid Aloraini | 1 | 0 | 0.34 |
| Abdulrhman Aljouie | 2 | 0 | 0.34 |
| Rashed Alniwaider | 3 | 0 | 0.34 |
| Wardah Alharbi | 4 | 0 | 0.34 |
| Lamia Alsubaie | 5 | 0 | 0.34 |
| Wafaa AlTuraif | 6 | 0 | 0.34 |
| Waseem Qureshi | 7 | 0 | 0.34 |
| Abdulrahman Alswaid | 8 | 0 | 0.34 |
| Wafaa Eyiad | 9 | 0 | 0.34 |
| Fuad Al Mutairi | 10 | 0 | 0.34 |
| Faroug Ababneh | 11 | 0 | 0.34 |
| Majid Alfadhel | 12 | 0 | 0.34 |
| Ahmed Alfares | 13 | 0 | 0.34 |