生物統計入門

課堂講師:馬力教授

課堂時長:6x1 小時

課堂類別:高級課程

課堂難易度:

生物人專家講堂系列課程

 

說起生物統計大家一定很熟悉,都知道它很重要,我們也打心眼里想把它學好,不說成為這方面的高手吧,至少簡單的數據分析不用發愁,但是看到厚厚的生物統計課本,就有點犯難了,要是有個“專家”能高屋建瓴,指導指導,讓我們快速入門該有多好!

那么,現在這個專家讓我們請來了,美國馬里蘭大學遺傳學生物統計專家,馬力教授親自為我們做遺傳生物統計的入門課程講解。

 

課程內容

生物統計入門簡介, 共6次課

  1. Probability and distribution概率與分布
  2. Hypothesis testing and Z-test假設檢驗和Z檢驗
  3. T-test and Chi-square TestT檢驗和卡方檢驗
  4. Statistical power and sample size統計能力和樣本量
  5. Analysis of Variance (ANOVA)方差分析
  6. Linear Regression線性回歸

 

講課專家

馬力,復旦大學數學系本科,明尼蘇達大學遺傳統計學博士,美國馬里蘭大學遺傳統計學教授,師出名門,近二十年的專業生涯,資深的研究背景,豐富的教學經驗,一定會助大家掃清學習路上的障礙,收獲滿滿!

 

所有論文可以從如下鏈接查看:

(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.

 

……………

   歡迎大家交流學習,本次講課由馬力教授通過線上,為大家晚間授課,課程分為6個課時,每堂課1個小時,40min講課,20分鐘提問,由專家高屋建瓴、深入淺出為大家講述遺傳生物統計的整體概貌,獲得對生物統計學的一個系統完整的了解,課后還有答疑時間,機會難得,歡迎大家積極報名!

 

講課時間:

 2020年全年有效  周一至周六:  每晚8:00-9:00      一共六次課。

(我們采取預報名模式,分期授課,每一期學員人數一滿即可開課,具體時間會及時通知到學員)

 

課程適合人群

      研究生、臨床科研醫生、科研工作者、企業研發人員等

 

講課費用

      六次課程,一共只收費298元/人,前20名報名者只收198元,機會難得。

 

報名方式

     掃描下方二維碼,加微信報名,具體繳費在正式開課前進行,大家請放心報名。

聯絡我們

 

聯系人:吳老師 邢老師

 

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生物人教育培訓基地(www.dy896.com)



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