登入選單

返回Google圖書搜尋

Algorithmic Methods for Multi-omics Biomarker Discovery

Yichao Li

出版	Ohio University, 2018
URL	http://books.google.com.hk/books?id=D0ajwgEACAAJ&hl=&source=gbs_api

註釋

The central dogma of molecular biology states that DNA is transcribed into RNA, which is then translated into proteins. The flow of genetic information in time and space is orchestrated by complex regulatory mechanisms. With the advent of modern biotechnology, our understanding of genomics, transcriptomics, and proteomics has deepened. However, bioinformatic tools for biomarker discovery in the different types of omics are still lacking. To address these issues, we developed novel algorithmic methods for three primary omics. Proteins are the main executor of cellular functions. In the proteomic level, we developed machine learning models for early diagnosis of type 2 diabetes based on the abundance of post-translational modifications (PTMs).