Wolde, T.; Huang, J.; Huang, P.; Pandey, V.; Qin, P.
Depleted-MLH1 Expression Predicts Prognosis and Immunotherapeutic Efficacy in Uterine Corpus Endometrial Cancer: An In Silico Approach. BioMedInformatics 2024, 4, 326-346.
https://doi.org/10.3390/biomedinformatics4010019
AMA Style
Wolde T, Huang J, Huang P, Pandey V, Qin P.
Depleted-MLH1 Expression Predicts Prognosis and Immunotherapeutic Efficacy in Uterine Corpus Endometrial Cancer: An In Silico Approach. BioMedInformatics. 2024; 4(1):326-346.
https://doi.org/10.3390/biomedinformatics4010019
Chicago/Turabian Style
Wolde, Tesfaye, Jing Huang, Peng Huang, Vijay Pandey, and Peiwu Qin.
2024. "Depleted-MLH1 Expression Predicts Prognosis and Immunotherapeutic Efficacy in Uterine Corpus Endometrial Cancer: An In Silico Approach" BioMedInformatics 4, no. 1: 326-346.
https://doi.org/10.3390/biomedinformatics4010019
APA Style
Wolde, T., Huang, J., Huang, P., Pandey, V., & Qin, P.
(2024). Depleted-MLH1 Expression Predicts Prognosis and Immunotherapeutic Efficacy in Uterine Corpus Endometrial Cancer: An In Silico Approach. BioMedInformatics, 4(1), 326-346.
https://doi.org/10.3390/biomedinformatics4010019