Network Models of Prostate Cancer Immune Microenvironments Identify ROMO1 as Heterogeneity and Prognostic Marker
Lei Wang(Hebei Medical University), Xinqiang Song(Xinyang Normal University), Wei Lu(Xinyang Central Hospital), Yuxuan Chen(Hospital 463 People's Liberation Army), Xudong Liu(Xinyang Normal University), Yu Zhang(Mayo Clinic in Arizona), Rui Li(Qilu Hospital of Shandong University), Zhe Liu(City University of Hong Kong), Xue Zhao(Hubei University of Medicine), Jia Luo(Xinyang Normal University), Lijun Zhao(Xinxiang Medical University), Ying Ma(Xinyang Normal University), Jinyue Yin(Xinyang Normal University), Jinke Fan(Xinyang Normal University), Mengdi Fan(Zhejiang University), Yafan Wang(City Of Hope National Medical Center)
Cited by 0
Related Papers
Genome sequence of the date palm Phoenix dactylifera L
|Nature Communications|2013|326
Endocrine Features of Menstrual Cycles in Middle and Late Reproductive Age and the Menopausal Transition Classified According to the Staging of Reproductive Aging Workshop (STRAW) Staging System
|The Journal of Clinical Endocrinology & Metabolism|2007|187
Genome-Wide Identification, Classification, and Expression Analysis of Amino Acid Transporter Gene Family in Glycine Max
|Frontiers in Plant Science|2016|89
Family-Wide Survey of miR169s and NF-YAs and Their Expression Profiles Response to Abiotic Stress in Maize Roots
|PLoS ONE|2014|75
Automated machine learning‐based model predicts postoperative delirium using readily extractable perioperative collected electronic data
|CNS Neuroscience & Therapeutics|2021|66