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Supplementary Data Tables S1-S15 from State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia

Authors :
Guido Marcucci
Ya-Huei Kuo
Nadia Carlesso
Stephen Forman
Leo D. Wang
Zheng Liu
Yate-Ching Yuan
Xiwei Wu
Davide Maestrini
Herman Wu
Ayelet Marom
Lianjun Zhang
Emily Carnahan
Guerry Cook
Wei-Kai Hua
Denis O'Meally
David E. Frankhouser
Jing Qi
Sergio Branciamore
Russell C. Rockne
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Table S1. Differentially expressed genes for c_1 vs c_1^* Table S2. Differentially expressed genes for c_2 vs c_1^* Table S3. Differentially expressed genes for c_3 vs c_1^* Table S4. Differentially expressed genes for c_2 vs c_1 Table S5. Differentially expressed genes for c_3 vs c_1 Table S6. Differentially expressed genes for c_3 vs c_2 Tables S7-S10. Differentially expressed genes for early, transition, persistent, and leukemia events. Tables S11-S14. GO terms enriched for early, transition, persistent, and leukemia events. Table S15. Top 1% of eigengenes.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....cac7593ac16783c4942fb5829245ed82
Full Text :
https://doi.org/10.1158/0008-5472.22426285.v1