Yan, Yu, Jiang, Jyun-Yu, Fu, Mingzhou, Wang, Ding, Pelletier, Alexander R., Sigdel, Dibakar, Ng, Dominic C.M., Wang, Wei, and Ping, Peipei. MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases. Retrieved from https://par.nsf.gov/biblio/10447612. Cell Reports Methods 3.3 Web. doi:10.1016/j.crmeth.2023.100430.

Yan, Yu, Jiang, Jyun-Yu, Fu, Mingzhou, Wang, Ding, Pelletier, Alexander R., Sigdel, Dibakar, Ng, Dominic C.M., Wang, Wei, & Ping, Peipei. MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases. Cell Reports Methods, 3 (3). Retrieved from https://par.nsf.gov/biblio/10447612. https://doi.org/10.1016/j.crmeth.2023.100430

Yan, Yu, Jiang, Jyun-Yu, Fu, Mingzhou, Wang, Ding, Pelletier, Alexander R., Sigdel, Dibakar, Ng, Dominic C.M., Wang, Wei, and Ping, Peipei. "MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases". Cell Reports Methods 3 (3). Country unknown/Code not available. https://doi.org/10.1016/j.crmeth.2023.100430. https://par.nsf.gov/biblio/10447612.

@article{osti_10447612,
place = {Country unknown/Code not available}, title = {MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases}, url = {https://par.nsf.gov/biblio/10447612}, DOI = {10.1016/j.crmeth.2023.100430}, abstractNote = {}, journal = {Cell Reports Methods}, volume = {3}, number = {3}, author = {Yan, Yu and Jiang, Jyun-Yu and Fu, Mingzhou and Wang, Ding and Pelletier, Alexander R. and Sigdel, Dibakar and Ng, Dominic C.M. and Wang, Wei and Ping, Peipei}, }