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Research on the Application of PBL+SPOC Blended Teaching Model in probability and statistics Course

Journal of Contemporary Educational Research 2024年第9期8卷 63-68页

作者： Hairong Li College of Computer Engineering Guangzhou City University of TechnologyGuangzhou 510800Guangdong ProvinceChina

To cultivate talents with an exploratory spirit and practical skills in the era of information technology,it is imperative to reform teaching methods and *** the teaching process of the probability and statistics course,an application-oriented blended teaching model combining problem-based learning and small private online course was *** organizing and implementing online and offline teaching activities based on problem-based learning,a multidimensional process-oriented learning assessment system was *** has shown that this model can effectively enhance classroom teaching effectiveness,benefiting the improvement of students’overall skills and mathematical literacy.

关键词： Problem-based learning teaching method Blended learning probability and statistics

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Applications of probability and statistics in cancer genomics

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Quantitative Biology 2020年第2期8卷 95-108页

作者： Xiaotu Ma Sasi Arunachalam Yanling Liu Department of Computational Biology and Cancer Biology ProgramComprehensive Cancer CenterSt Jude Children's Research HospitalMemphisTN 38105USA

Background:The past decade has witnessed a rapid progress in our understanding of the genetics of cancer and its *** and statistical modeling played a pivotal role in the discovery of general patterns from cancer genomics datasets and continue to be of central importance for personalized ***:In this review we introduce cancer genomics from a probabilistic and statistical *** start from(1)functional classification of genes into oncogenes and tumor suppressor genes,then(2)demonstrate the importance of comprehensive analysis of different mutation types for individual cancer genomes,followed by(3)tumor purity analysis,which in turn leads to(4)the concept of ploidy and clonality,that is next connected to(5)tumor evolution under treatment pressure,which yields insights into cancer drug *** also discuss future challenges including the non-coding genomic regions,integrative analysis of genomics and epigenomics,as well as early cancer ***:We believe probabilistic and statistical modeling will continue to play important roles for novel discoveries in the field o f cancer genomics and personalized medicine.

关键词： cancer genomics sequence analysis probability and statistics

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