SCINA: Semi-Supervised Analysis of Single Cells in silico
Ze Zhang, Danni Luo, Xue Yun Zhong, Jin Huk Choi, Yuanqing Ma, Stacy Wang, Elena Mahrt, Wei Guo, Eric W. Stawiski, Zora D. Modrusan, Somasekar Seshagiri, Payal Kapur, Gary C. Hon, James Brugarolas, Tao Wang
SCINA is a semi-supervised model for analyzing scRNA-Seq and flow cytometry data, improving accuracy and efficiency over unsupervised methods by leveraging gene signatures.
Genes · Jul 12, 2019Peer-reviewedBioinformatics