Zhou, Manqi, Zhang, Hao, Bai, Zilong, Mann-Krzisnik, Dylan, Wang, Fei, and Li, Yue. Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique. Retrieved from https://par.nsf.gov/biblio/10519812. STAR Protocols 5.2 Web. doi:10.1016/j.xpro.2024.103066.

Zhou, Manqi, Zhang, Hao, Bai, Zilong, Mann-Krzisnik, Dylan, Wang, Fei, & Li, Yue. Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique. STAR Protocols, 5 (2). Retrieved from https://par.nsf.gov/biblio/10519812. https://doi.org/10.1016/j.xpro.2024.103066

Zhou, Manqi, Zhang, Hao, Bai, Zilong, Mann-Krzisnik, Dylan, Wang, Fei, and Li, Yue. "Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique". STAR Protocols 5 (2). Country unknown/Code not available: Cell Press. https://doi.org/10.1016/j.xpro.2024.103066. https://par.nsf.gov/biblio/10519812.

@article{osti_10519812,
place = {Country unknown/Code not available}, title = {Protocol to perform integrative analysis of high-dimensional single-cell multimodal data using an interpretable deep learning technique}, url = {https://par.nsf.gov/biblio/10519812}, DOI = {10.1016/j.xpro.2024.103066}, abstractNote = {}, journal = {STAR Protocols}, volume = {5}, number = {2}, publisher = {Cell Press}, author = {Zhou, Manqi and Zhang, Hao and Bai, Zilong and Mann-Krzisnik, Dylan and Wang, Fei and Li, Yue}, }