生物统计入门

课堂讲师:马力教授

课堂时长:6x1 小时

课堂类别:高级课程

课堂难易度:

生物人专家讲堂系列课程

 

说起生物统计大家一定很熟悉,都知道它很重要,我们也打心眼里想把它学好,不说成为这方面的高手吧,至少简单的数据分析不用发愁,但是看到厚厚的生物统计课本,就有点犯难了,要是有个“专家”能高屋建瓴,指导指导,让我们快速入门该有多好!

那么,现在这个专家让我们请来了,美国马里兰大学遗传学生物统计专家,马力教授亲自为我们做遗传生物统计的入门课程讲解。

 

课程内容

生物统计入门简介, 共6次课

  1. Probability and distribution概率与分布
  2. Hypothesis testing and Z-test假设检验和Z检验
  3. T-test and Chi-square TestT检验和卡方检验
  4. Statistical power and sample size统计能力和样本量
  5. Analysis of Variance (ANOVA)方差分析
  6. Linear Regression线性回归

 

讲课专家

马力,复旦大学数学系本科,明尼苏达大学遗传统计学博士,美国马里兰大学遗传统计学教授,师出名门,近二十年的专业生涯,资深的研究背景,丰富的教学经验,一定会助大家扫清学习路上的障碍,收获满满!

 

所有论文可以从如下链接查看:

(https://www.ncbi.nlm.nih.gov/pubmed/?term=Ma+L%5BAuthor%5D+and+University+of+Maryland)

 

  1. L Fang†, S Liu, M Liu, X Kang, S Lin, B Li, EE Connor, RL Baldwin, A Tenesa, L Ma, GELiu, C Li, Functional annotation of the cattle genome through systematic discovery and characterization of chromatin states and butyrate-induced variations, BMC Biology 17 (1), 1-16
  2. J Jiang†, JB Cole, E Freebern, Y Da, PM VanRaden, L Ma*, Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls. Communications Biology 2 (1),212
  3. L Fang†, Y Zhou, S Liu, J Jiang, DM Bickhart, DJ Null, B Li, SG Schroeder, BD Rosen, JB Cole, CP Van Tassell, L Ma*, GE Liu* (2019) Integrating Signals from Sperm Methylome Analysis and Genome-Wide Association Study for a BetterUnderstanding of Male Fertility in Cattle. Epigenomes, 3(2), 10
  4. DJA Santos†, JB Cole, TJ Lawlor Jr, PM VanRaden, H Tonhati, L Ma* (2019) Variance ofgametic diversity and its application in selection  Journal of Dairy Science 102 (6), 5279-5294
  5. L Fang†, J Jiang†, B Li, Y Zhou, E Freebern, PM VanRaden, JB Cole, GE Liu*, L Ma* (2019) Genetic and epigenetic architecture of paternal origin contribute to gestation length in cattle. Communications Biology 2 (1),100
  6. L Fang†, Y Zhou, S Liu, J Jiang, DM Bickhart, DJ Null, B Li, SG Schroeder, BD Rosen, JBCole, CP VanTassell, L Ma*, GE Liu* (2019) Comparative analyses of sperm DNA

methylomes among human, mouse and cattle provide insights into epigenomic evolution and complex traits. Epigenetics 14 (3), 260-276

  1. L Ma*, JB Cole, Y Da, PM VanRaden (2018) Symposium review: Genetics, genome-wide association study, and genetic improvement of dairy fertility traits. Journal of Dairy Science 102 (4),3735-3743
  2. DJ Santos†, JB Cole, DJ Null, TM Byrem, L Ma* (2018) Genetic and non-genetic profiling of milk pregnancy-associated glycoproteins in Holstein cattle. Journal of Dairy Science 101 (11),9987-10000
  3. B Shen†, J Jiang†, E Seroussi, GE Liu, L Ma* (2018) Characterization of recombination features and the genetic basis in multiple cattle breeds. BMC Genomics 19 (1),304
  4. Y Zhou#, B Shen#†, J Jiang†, A Padhi†, KE Park, A Oswalt, CG Sattler, BP Telugu, H Chen, JB Cole, GE Liu*, L Ma* (2017) Construction of PRDM9 allele-specific recombination maps in cattle using large-scale pedigree analysis and genome-wide single sperm genomics. DNA Research 25(2):183-194. #equalcontribution
  5. L Ma*, G Hoffman, A Keinan* (2015) X-inactivation informs variance-based testing for X-linked association of a quantitative trait. BMC Genomics, 16 (1),
  6. LMa*, JR O’Connell, PM VanRaden, B Shen†, A Padhi†, C Sun, DM Bickhart, JB Cole, DJ Null, GE Liu, Y Da, GR Wiggans (2015) Cattle Sex-Specific Recombination and Genetic Control from a Large Pedigree Analysis. PLoS Genetics, 11(11): e1005387
  7. E Gazave#, L Ma#, D Chang#, A Coventry, F Gao, D Muzny, E Boerwinkle, R Gibbs, CF Sing, AG Clark, A Keinan (2014) Neutral genomic regions refine models of recent rapid human population growth. PNAS, 111 (2) 757-762. #equalcontribution
  8. L Ma*, AG Clark, A Keinan* (2013) “Gene-based Testing of Interactions in Association Studies of Quantitative Traits. PLoS Genetics, 9 (2),
  9. L Ma, G Wiggans, SW Wang, TS Sonstegard, J Yang, BA Crooker, JB Cole, CP Van Tassell, TJ Lawlor, Y Da (2012) Effect of sample stratification on dairy GWAS results. BMC Genomics,13:536.
  10. L Ma, CM Ballantyne, JW Belmont, A Keinan, A Brautbar (2012) Interaction between SNPsin the RXRA and near ANGPTL3 gene region inhibit apolipoprotein B reduction following statin-fenofibric acid therapy in individuals with mixed

dyslipidemia. Journal of Lipid Research, 53: 2425–2428.

 

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   欢迎大家交流学习,本次讲课由马力教授通过线上,为大家晚间授课,课程分为6个课时,每堂课1个小时,40min讲课,20分钟提问,由专家高屋建瓴、深入浅出为大家讲述遗传生物统计的整体概貌,获得对生物统计学的一个系统完整的了解,课后还有答疑时间,机会难得,欢迎大家积极报名!

 

讲课时间:

 2020年1月6-11日  周一至周六:  每晚8:00-9:00      一共六次课。

(具体时间可能会有调整,根据学员报名情况而定,我们会及时通知)

 

课程适合人群

      研究生、临床科研医生、科研工作者、企业研发人员等

 

讲课费用

      六次课程,一共只收费298元/人,前20名报名者只收198元,机会难得。

 

报名方式

     扫描下方二维码,加微信报名和缴费,名额一满即进群学习。

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