Comprehensive characterization of IFNγ signaling in acute myeloid leukemia reveals prognostic and therapeutic strategies
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DOI: 10.1038/s41467-024-45916-6
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- Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
- Hussein A. Abbas & Dapeng Hao & Katarzyna Tomczak & Praveen Barrodia & Jin Seon Im & Patrick K. Reville & Zoe Alaniz & Wei Wang & Ruiping Wang & Feng Wang & Gheath Al-Atrash & Koichi Takahashi & Jing , 2021. "Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
- Suoqin Jin & Christian F. Guerrero-Juarez & Lihua Zhang & Ivan Chang & Raul Ramos & Chen-Hsiang Kuan & Peggy Myung & Maksim V. Plikus & Qing Nie, 2021. "Inference and analysis of cell-cell communication using CellChat," Nature Communications, Nature, vol. 12(1), pages 1-20, December.
- Jeffrey W. Tyner & Cristina E. Tognon & Daniel Bottomly & Beth Wilmot & Stephen E. Kurtz & Samantha L. Savage & Nicola Long & Anna Reister Schultz & Elie Traer & Melissa Abel & Anupriya Agarwal & Auro, 2018. "Functional genomic landscape of acute myeloid leukaemia," Nature, Nature, vol. 562(7728), pages 526-531, October.
- Jaewoong Lee & Mark E. Robinson & Ning Ma & Dewan Artadji & Mohamed A. Ahmed & Gang Xiao & Teresa Sadras & Gauri Deb & Janet Winchester & Kadriye Nehir Cosgun & Huimin Geng & Lai N. Chan & Kohei Kume , 2020. "IFITM3 functions as a PIP3 scaffold to amplify PI3K signalling in B cells," Nature, Nature, vol. 588(7838), pages 491-497, December.
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