“第四十八章 开发癌症疫苗”版本间的差异
来自cslt Wiki
(相同用户的一个中间修订版本未显示) | |||
第34行: | 第34行: | ||
* Hu Z, Ott P A, Wu C J. Towards personalized, tumour-specific, therapeutic vaccines for cancer[J]. Nature Reviews Immunology, 2018, 18(3): 168-182. [https://www.nature.com/articles/nri.2017.131] | * Hu Z, Ott P A, Wu C J. Towards personalized, tumour-specific, therapeutic vaccines for cancer[J]. Nature Reviews Immunology, 2018, 18(3): 168-182. [https://www.nature.com/articles/nri.2017.131] | ||
− | * Andreatta, M. & Nielsen, M. Gapped sequence alignment using artificial neural networks: application to the MHC class I system. Bioinformatics 32, 511–517 (2016). | + | * Andreatta, M. & Nielsen, M. Gapped sequence alignment using artificial neural networks: application to the MHC class I system. Bioinformatics 32, 511–517 (2016). [https://academic.oup.com/bioinformatics/article/32/4/511/1744469] |
− | * Calling cancer’s bluff with neoantigen vaccines, https://www.nature.com/articles/d41586-017-08706-3 | + | * Calling cancer’s bluff with neoantigen vaccines, [https://www.nature.com/articles/d41586-017-08706-3] |
* Ngoc Hieu Tran, Rui Qiao, Lei Xin, Xin Chen, Baozhen Shan,Ming Li, Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines, Nature Machine Intelligence, 2, pages764–771(2020) [https://www.nature.com/articles/s42256-020-00260-4#MOESM2] | * Ngoc Hieu Tran, Rui Qiao, Lei Xin, Xin Chen, Baozhen Shan,Ming Li, Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines, Nature Machine Intelligence, 2, pages764–771(2020) [https://www.nature.com/articles/s42256-020-00260-4#MOESM2] | ||
* Ball P. First quantum computer to pack 100 qubits enters crowded race[J]. Nature, 2021, 599(7886): 542-542. [https://www.nature.com/articles/d41586-021-03476-5] | * Ball P. First quantum computer to pack 100 qubits enters crowded race[J]. Nature, 2021, 599(7886): 542-542. [https://www.nature.com/articles/d41586-021-03476-5] |
2022年8月26日 (五) 04:55的最后版本
教学资料
扩展阅读
视频展示
- 疫苗的历史:人类与病毒之间的史诗级战役,最终谁赢了? [5]
- 细胞免疫 [6]
- CAR-T细胞免疫疗法 [7]
- 一分半解读CAR-T疗法 [8]
- 肿瘤免疫疗法之免疫检查点抑制剂 [9]
- 体免疫的“刹车”系统:新免疫疗法为癌症患者带来福音 [10]
演示链接
开发者资源
高级读者
- Hu Z, Ott P A, Wu C J. Towards personalized, tumour-specific, therapeutic vaccines for cancer[J]. Nature Reviews Immunology, 2018, 18(3): 168-182. [13]
- Andreatta, M. & Nielsen, M. Gapped sequence alignment using artificial neural networks: application to the MHC class I system. Bioinformatics 32, 511–517 (2016). [14]
- Calling cancer’s bluff with neoantigen vaccines, [15]
- Ngoc Hieu Tran, Rui Qiao, Lei Xin, Xin Chen, Baozhen Shan,Ming Li, Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines, Nature Machine Intelligence, 2, pages764–771(2020) [16]
- Ball P. First quantum computer to pack 100 qubits enters crowded race[J]. Nature, 2021, 599(7886): 542-542. [17]