Ying Cheng

A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia

Jing Liu, Zhuoxin Sun, Bo Huang, 2022, Lipids in Health and Disease.

Ferroptosis-related molecular patterns reveal immune escape, inflammatory development and lipid metabolism characteristics of the tumor microenvironment in acute myeloid leukemia

Jing Zhang, Jing Liu, Bo Huang, 2022, Frontiers in Oncology.

m6A-related lncRNAs predict prognosis and indicate immune microenvironment in acute myeloid leukemia

Jing Liu, Bo Huang, Xiaozhong Wang, 2022, Scientific Reports.

Acute Promyelocytic Leukemia by Using Convolutional Neural Network.

Yong Yuan, Weijia Wang, Nengliang Ouyang, 2020, Clinica chimica acta; international journal of clinical chemistry.

Splicing factor-mediated regulation patterns reveals biological characteristics and aid in predicting prognosis in acute myeloid leukemia

Jing Liu, Bo Huang, Xiao-zhong Wang, 2023, Journal of Translational Medicine.

Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia

Yanmei Xu, Jing Liu, Bo Huang, 2023, Cancer Cell International.

The m6A regulator KIAA1429 stabilizes RAB27B mRNA and promotes the progression of chronic myeloid leukemia and resistance to targeted therapy

Yanmei Xu, Jing Liu, Bo Huang, 2023, Genes & diseases.

Bioinformatic analysis of the expression profile and identification of RhoGDI2 as a biomarker in imatinib-resistant K562 cells

Yanmei Xu, Jing Liu, Bo Huang, 2023, Hematology.