BIMSA > Mini-workshop on Statistical Genetics：Where should we go？
Mini-workshop on Statistical Genetics：Where should we go？
Today, statistical methods are advancing rapidly, driving significant progress in scientific research. No longer confined to population-level analyses, statistics now increasingly focuses on individualized and precise investigations. This shift enables deeper exploration of individual differences and genetic characteristics, creating substantial impacts across fields like biology, medicine, agriculture, and forestry.
To further promote the application of statistical genetics methods across diverse fields, we have invited experts from various disciplines to share their cutting-edge research on statistical methods and collectively explore future directions for statistical development.
Organizer
Shuang Wu
Speakers
Yangyang Bian ( Beijing Forestry University & BIMSA , BIMSA )
Changjian Fa ( Beijing Forestry University & BIMSA , BIMSA )
Jian Huang ( BIMSA-BUAA )
Xinlei Huang ( Jiangnan University )
Wenqi Pan ( Beijing Forestry University & BIMSA , BIMSA )
Zishan Qian ( CUHK-Shenzhen )
Rongling Wu ( BIMSA , YMSC )
Miaomiao Zhang ( Chinese Academy of Forestry )
Qianru Zhang ( Institute of Hematology , BIMSA-UCAS )
Date
9th ~ 9th November, 2024
Location
Weekday Time Venue Online ID Password
Saturday 10:00 - 16:00 A6-101 ZOOM 03 242 742 6089 BIMSA
Schedule
Time\Date Nov 9
Sat
10:00-10:20 Rong Ling Wu
10:20-10:40 Miaomiao Zhang
10:40-11:00 Qianru Zhang
11:20-11:40 Xinlei Huang
11:40-12:00 Jian Huang
14:00-14:20 Changjian Fa
14:20-14:40 Yangyang Bian
15:00-15:20 Wenqi Pan
15:20-15:40 Zishan Qian

*All time in this webpage refers to Beijing Time (GMT+8).

Program
    9th November, 2024

    10:00-10:20 Rongling Wu

    Opening Remark

    10:20-10:40 Miaomiao Zhang

    欧洲云杉遗传解析和基因组选择育种

    10:40-11:00 Qianru Zhang

    Dissecting the Interplay between PCNSL Cells and The Microenvironment Using Single-Cell Transcriptomic Analysis

    11:20-11:40 Xinlei Huang

    Evolutionary Characteristics of Topological Structure in Global Metabolic Networks within Microbial Communities

    11:40-12:00 Jian Huang

    Complexity of Microbial Count Data in Host-Microbe Interactions and Future Research Prospects

    14:00-14:20 Changjian Fa

    Comprehensive Genetic Network Model for Covariation of Growth Traits

    14:20-14:40 Yangyang Bian

    Application of idopNetwork: Constructing the Post-Flowering Prunus Gene Network Using Transcriptome Data

    15:00-15:20 Wenqi Pan

    Construction of miRNA idopNetwork for Development of Heteromorphic Leaves in Populus Euphratica

    15:20-15:40 Zishan Qian

    Analysis of Glycyrrhiza Compound Interaction Mechanism through IDOP Network