{"id":9165,"date":"2020-04-28T12:42:16","date_gmt":"2020-04-28T10:42:16","guid":{"rendered":"https:\/\/www.resist-cluster.de\/?page_id=9165"},"modified":"2024-12-19T08:14:02","modified_gmt":"2024-12-19T07:14:02","slug":"prof-dr-yang-li","status":"publish","type":"page","link":"https:\/\/www.resist-cluster.de\/en\/about-us\/research-team-2\/prof-dr-yang-li\/","title":{"rendered":"Prof. Dr. Yang Li"},"content":{"rendered":"

<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div><\/div><\/div>
<\/a><\/span><\/div>

Prof. Dr. Yang Li participates in the RESIST study.<\/p>\n<\/div>

<\/div><\/div><\/div>

\n\n\n
<\/i><\/td>\nMy Research Interest in RESIST<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/h1><\/div>
\n
\n
\n

In RESIST, we focus on studying how genetic variation affects molecular and immune phenotypes such as gene expression, metabolites and cytokine responses to stimulations. We develop computational methods and algorithms for fully exploit high-throughput datasets from the most recent profiling technologies, e.g., causal inference and deconvolution of the overall genetic regulation effects of gene expression into relevant cell types. We also integrate large multi-omics data sets and immune profiling of patient to unravel the genotype-phenotype map on a genome- wide scale and built computational models for predicting immune functions and disease risk.<\/p>\n

Our aim is to reveal the host genetic risk factors and their downstream molecular pathways as well as to improve the identification of at risk patients, which are crucial to make progress in understanding and treating infectious diseases in an individualized manner.\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>

<\/div>
<\/div>
<\/div>
<\/i><\/span>Contact<\/span><\/a><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/path><\/svg><\/div>
<\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div><\/div><\/div>
<\/div><\/div><\/div>

Prof. Li about her scientific work<\/h1><\/div>