아주쉬운 유전체 분석 2019 - 교육프로그램
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K-Genome Lectures 2019
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일자구분장소강의제목강사소속실습 2강사소속
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13/6강의혁신학습실유전체 연구 소개우현구아주대
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23/13강의혁신학습실Deep Learning Approaches to
Cancer Genomics and RNA Biology
백대현서울대
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33/20실습혁신학습실R programming우현구/최지혜아주대
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43/27실습컴퓨터실습실Bioconductor우현구/지별아아주대
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54/3강의혁신학습실Tumor landscape drawn from single cell RNA sequencing이혜옥삼성유전체연구소
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64/10강의혁신학습실TBA(Epigenomics)노태영포항공대
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74/17강의/실습혁신학습실Dissecting cellular heterogeneity using single-cell RNA-seq김종경DGISTDifferential expression 우현구/지별아아주대
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84/24강의/실습혁신학습실Applications of Deep Sequencing: from origin of life to discovery of therapeutic antibodies박대찬아주대clustering/classification우현구/지별아아주대
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95/1강의혁신학습실TBA (cancer genomics)이진구아주대
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105/8실습혁신학습실Gene Set Analysis / Pathway Analysis우현구/최지혜아주대cytoscape/IGV우현구/최지혜아주대
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115/15실습컴퓨터실습실공개데이터 분석-GEO우현구/최지혜아주대공개데이터 분석-TCGA우현구/최지혜아주대
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125/22강의혁신학습실TBA (Cancer Genome Data Analysis)김상우연세대
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135/29실습컴퓨터실습실R을 이용한 데이터시각화1박민영DNAlink
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146/5실습컴퓨터실습실R을 이용한 데이터시각화2박민영DNAlink
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156/12평가혁신학습실Final Examination/Project Evaluation우현구아주대
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* Regression, Machine Learning 제외
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