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"Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers" by Prof. Luonan Chen (4月10日,周二,下午两点)
发表时间:2012-04-10 阅读次数:1296次

 

Title: Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network 
         biomarkers

 

Speaker: Luonan Chen
              Professor, Excutive director, Key Laboratory of Systems Biology, Shanghai Institutes for Biological
              Sciences, Chinese Academy of Sciences
 

Time:  2:00 pm, Tuesday, April 10

 

Venue: Room 2001, East Guanghua Tower

 

Abstract:

Considerable evidence suggests that during the progression of complex diseases, the deteriorations are not necessarily smooth but are abrupt, and may cause a critical transition from one state to another at a tipping point. Here, we develop a model-free method to detect early-warning signals of such critical transitions, even with only a small number of samples. Specifically, we theoretically derive an index based on a dynamical network biomarker (DNB) that serves as a general early-warning signal indicating an imminent bifurcation or sudden deterioration before the critical transition occurs. Based on theoretical analyses, we show that predicting a sudden transition from small samples is achievable provided that there are a large number of measurements for each sample, e.g., high-throughput data. We employ microarray data of three diseases to demonstrate the effectiveness of our method. The relevance of DNBs with the diseases was also validated by related experimental data and functional analysis.

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