The purpose of subcellular proteomics is to map the location of all proteins in the cell, so that the intracellular tissue can be systematically observed. The power of comparative spatial proteomics has begun as a discovery tool to reveal disease mechanisms.
At present, machine learning is widely studied in the field of life science and is the mainstream research method of bioinformatics. Our laboratory is committed to the application of machine learning to a variety of research directions, including neoantigens prediction and sequencing, natural language processing, and methods for distinguishing the origins of liver cancer tumors by MRI images.
Prior to becoming a member of Center For Biological Genetics, Wanfeng got his Master degree in Department of Bioinformatics, Chongqing Medical University, and now studying for PhD. The main research area is tumor evolution.
- "Practice makes perfect".
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- "Faber est suae quisque foruna"
She graduated from North Minzu University with a bachelor's degree and is studying for a master's degree at Chongqing Medical University. The main research direction is subcellular proteomics. Her motto is never give up.
- "Never give up."
Studying for a master's degree of Biochemistry and Molecular Biology in Chongqing Medical University, and the main research area is liver cancer by Bioinformatics
- "Born lonely, enjoy life."
Graduated from Chongqing Medical University with a bachelor's degree in bioinformatics and am currently studying for a master's degree in bioinformatics. Research interests are genetic pattern analysis of germline CNV and development of neoantigen prediction algorithms based on machine learning.
- "Forever young."
A graph clustering of the transcribed tumor-mutated alleles characterized overlapped functional clusters, and thus prioritized potentially novel oncogenes. We validated the function of the potentially novel oncogenes in vitro and in vivo. We showed that a component of the retromer complex—the vacuolar protein sorting-associated protein 35 (VPS35)— promoted the proliferation of hepatoma cell through the PI3K/AKT signaling pathway. In VPS35-knockout hepatoma cells, a significantly reduced distribution of membrane fibroblast growth factor receptor 3 (FGFR3) demonstrated the effects of VPS35 on sorting and trafficking of transmembrane receptor.Full Text
we discuss the current hypotheses and knowledge about the evolutionary genetics of several risk factors for CHD. Several candidate genes in pathways of blood pressure, glucose and lipid metabolism, blood coagulation, and inflammation that may be under natural selection are enumerated. An evolutionary perspective might explain why contemporary humans are at high risk for CHD and also helps to better understand variation in disease susceptibility.Full Text
A NLP system was developed for clinical information extraction and HCC staging based on EMRs, and the results indicate that Chinese NLP has potential utility in clinical research.Full Text