Transcriptome Analysis Offers a Comprehensive Illustration of the Genetic Background of Pediatric Acute Myeloid Leukemia

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001005078	This dataset includes 139 bam files of mRNA sequencing. All subjects are tumor samples of pediatric acute myeloid leukemia.	Illumina HiSeq 2000	139

Publications	Citations
Transcriptome analysis offers a comprehensive illustration of the genetic background of pediatric acute myeloid leukemia. Shiba N, Yoshida K, Hara Y, Yamato G, Shiraishi Y, Matsuo H, Okuno Y, Chiba K, Tanaka H, Kaburagi T, Takeuchi M, Ohki K, Sanada M, Okubo J, Tomizawa D, Taki T, Shimada A, Sotomatsu M, Horibe K, Taga T, Adachi S, Tawa A, Miyano S, Ogawa S, Hayashi Y. Blood Adv 3: 2019 3157-3169	32
Development and validation of a promising 5-gene prognostic model for pediatric acute myeloid leukemia. Tao Y, Wei L, Shiba N, Tomizawa D, Hayashi Y, Ogawa S, Chen L, You H. Mol Biomed 5: 2024 1	0