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About Me

You got a dream, you gotta protect it. People can't do something themselves they wanna tell you, you can't do it. If you want something, go get it.
- The Pursuit of Happiness.

My Name is Kai Gu

Graduated from Zhejiang University of Technology, majoring in Biochemistry. 
For personal interest, I chose Bioinformatics by self-learning at my first job in a biotech in 2016. With the purpose of knowing more about clinical research or trial, I went to one IVD company as a statistical analyst and bio-statistician for the clinical trial of Reagent later...

Purpose

  • The first purpose for writing blogs is to push myself to learn the knowledge of Bioinformatics as I'm interprofessional so I need to learn more and faster to reach the higher grade.
  • Also I like to keep notes and share any ideas in work and interest fields. 

Contact

 Email:
gukai1212@163.com
 Github:
 https://github.com/kaigu1990
 Blog:
https://www.bioinfo-scrounger.com
 Location:
ShangHai, China

Profession

Bioinformatics

  • Lets me know what is the interdisciplinary Biology and Computer, and how to use programming and statistical method to resolve questions.
  • The precious research experience teaches me how to conduct a basic research, such as posing a question and exploring it. 

Statistical Programmer

  • Lets me know what is the clinical data in the submission stage of clinical trial, and how to handle it through the programming by SAS & R.
  • Building maintainable and robust R packages as well as Shiny modules with the tech stack in the multi-collaboration mode.

Bio-statistician

  • Lets me know what is the clinical protocol, and the role and responsibilities as a bio-statistician in the clinical trial.
  • Learning more statistical methods and designs in the clinical trial.
  • How to conduct a clinical from a bio-statistician perspective.

Interest

 Program​mi​ng

 ​Statistical Method

 ​Data Visualization

 ​Machine Learning

Conclusion

The ending of my career is unknown.
I'm not a smart person, however, I can learn quickly and always do my best.

“We live and learn, or, perhaps more importantly we learn and live.”
— Terry Pratchett

Publications

My published collaborative research, to date. Just a few work inside.

Wei Nie, Mi-Die Xu, Lu Gan, Yi Zhang, Jie Qian, Kai Gu, Xue-Yan Zhang,... & Bao-Hui Han (2019) Advanced Non-Small Cell Lung Cancer Patients With Low Tumor Mutation Burden Might Derive Benefit From Immunotherapy, J Immunother 43(6):189-195 [PMID: 32209830]

Wei Nie, Jie Qian, Mi-Die Xu, Kai Gu, Fang-Fei Qian,... & Bao-Hui Han (2020) Prognostic and Predictive Value of Blood Tumor Mutational Burden in Patients With Lung Cancer Treated With Docetaxel, JNCCN 18(5):582-589 [PMID: 32380463]

Wei Nie, Jie Qian, Mi-Die Xu, Kai Gu, Fang-Fei Qian,... & Bao-Hui Han (2020) A non-linear association between blood tumor mutation burden and prognosis in NSCLC patients receiving atezolizumab, Oncoimmunology 9(1):1731072 [PMID: 32158623]

Wei Nie, Lu Gan, Xin Wang, Kai Gu, Fang-Fei Qian,... &Bao-Hui Han (2021) Atezolizumab prolongs overall survival over docetaxel in advanced non-small-cell lung cancer patients harboring STK11 or KEAP1 mutation, Oncoimmunology 10(1):1865670 [PMID: 33537171]

Shixiang Wang, Yi Xiong, Kai Gu, Longfei Zhao, Yin Lia, Fei Zhao, Xuejun Li, Xue-Song Liu (2021) UCSCXenaShiny: an R package for exploring and analyzing UCSC Xena public datasets in web browser, Bioinformatics. [PMID: 34323947] DOI: 10.1093/bioinformatics/btab561

Anning Xiong, Wei Nie, Yan Zhou, Changhui Li, Kai Gu, Ding Zhang,…& Xueyan Zhang (2021) Comutations in DDR Pathways Predict Atezolizumab Response in Non-Small Cell Lung Cancer Patients, Front. Immunol. 12:708558. doi: 10.3389/fimmu.2021.708558