主讲人: 美国新墨西哥州立大学计算机系 宋明舟(Mingzhou Song)教授

讲座时间：2024年5月23日上午10点

地点：飞云楼209

报告摘要:

Genetic or epigenetic events can rewire molecular networks to induce extraordinary phenotypical divergences. Among the many network rewiring approaches, no model-free statistical methods can differentiate gene-gene pattern changes not attributed to marginal changes. This may obscure fundamental rewiring from superficial changes. Here we introduce a model-free Sharma-Song test to determine if patterns differ in the second order, meaning that the deviation of the joint distribution from the product of marginal distributions is unequal across conditions. We prove an asymptotic chi-squared null distribution for the test statistic. Simulation studies demonstrate its advantage over alternative methods in detecting second-order differential patterns. Applying the test on three independent mammalian developmental transcriptome datasets, we report a lower frequency of co-expression network rewiring between human and mouse for the same tissue group than the frequency of rewiring between tissue groups within the same species. We also find second-order differential patterns between microRNA promoters and genes contrasting cerebellum and liver development in mice. These patterns are enriched in the spliceosome pathway regulating tissue specificity. Complementary to previous mammalian comparative studies mostly driven by first-order effects, our findings contribute an understanding of system-wide second-order gene network rewiring within and across mammalian systems. Second-order differential patterns constitute evidence for fundamentally rewired biological circuitry due to evolution, environment, or disease.

主讲人简介：

宋明舟，现为美国新墨西哥州立大学计算机系正教授，主要从事生物数据科学研究，并应用于发育生物学，癌症，神经科学，和微生物学等领域。曾与1992年在北京邮电大学无线电工程系获图像传输与处理专业学士学位，然后又于1999年和2002年在美国华盛顿大学(西雅图校区)电机工程系分别获得硕士和博士学位。曾在2002年至2005年任美国纽约城市大学皇后学院助理教授，然后从2005年至今分别任美国新墨西哥州立大学计算机系助理教授、副教授、正教授。曾在2019年赴捷克共和国进行合作研究交流，分别在查尔斯大学以及捷克技术大学任富布赖特学者。已发表科技论文近百篇，编写专著两部(祥见http://www.cs.nmsu.edu/~joemsong/publications)。

联系方式：

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电子邮件：joemsong@nmsu.edu

网页：http://www.cs.nmsu.edu/~joemsong