Guest Editor(s)
Dr. Shaoqiu Chen
Email: shaoqiu@hawaii.edu
Affiliation: Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
Homepage:
Research Interests: Bioinformatics, Cancer biomarker, Cancer Immunotherapy
Dr. Hao Chi
Email: chihao@hawaii.edu
Affiliation: Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
Homepage:
Research Interests: Multi-omics, machine learning, deep learning, tumor immunology
Summary
The landscape of oncology is rapidly evolving, driven by our ability to identify novel therapeutic targets with greater precision. This special issue is dedicated to the full spectrum of this discovery process. We invite contributions that begin with innovative computational and bioinformatic approaches for mining complex biological datasets to identify promising targets. The core of this issue will be the subsequent experimental validation, showcasing studies that confirm the functional importance of these targets in cancer progression and survival. We are particularly interested in manuscripts that successfully integrate both computational discovery and wet-lab validation, addressing the challenges inherent in moving a potential target from an in-silico prediction to a functionally verified entity. The goal is to create a collection of high-impact articles that not only present novel targets but also provide a roadmap for their thorough preclinical validation.
Keywords
Therapeutic Targets; Innovative Therapeutics; Preclinical Validation;Translational Research;multi-Omics
Published Papers
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