Author: Zheng Zhang; Sifan Ye; Aiping Wu; Taijiao Jiang; Yousong Peng
Title: Prediction of receptorome for human-infecting virome Document date: 2020_2_28
ID: 9ruhvpbv_19
Snippet: To distinguish human virus receptors from other human cell membrane proteins with machine learning models, the human virus receptors were taken as positive samples, and the human membrane proteins were taken as negative samples after excluding the human cell membrane proteins since the human cell membrane proteins possibly contain virus receptors unidentified yet......
Document: To distinguish human virus receptors from other human cell membrane proteins with machine learning models, the human virus receptors were taken as positive samples, and the human membrane proteins were taken as negative samples after excluding the human cell membrane proteins since the human cell membrane proteins possibly contain virus receptors unidentified yet.
Search related documents:
Co phrase search for related documents- human cell and machine learning model: 1, 2
- human cell and negative sample: 1
- human cell and positive sample: 1, 2
- human cell and virus receptor: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74
- human cell membrane and machine learning: 1
- human cell membrane and machine learning model: 1
- human cell membrane and virus receptor: 1, 2, 3, 4, 5, 6, 7
- human membrane and machine learning: 1, 2
- human membrane and machine learning model: 1
- human membrane and virus receptor: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- human membrane protein and virus receptor: 1, 2, 3
- human virus and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48
- human virus and machine learning model: 1, 2, 3, 4, 5, 6, 7
- human virus and negative sample: 1, 2, 3, 4, 5
- human virus and positive sample: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- human virus and virus receptor: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76
- human virus receptor and machine learning: 1, 2, 3, 4
- human virus receptor and machine learning model: 1
- human virus receptor and virus receptor: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75
Co phrase search for related documents, hyperlinks ordered by date