【MIT-AI+医学课程】面向生命科学的深度学习课程

[{"title":"（ 28 个子文件 649.66MB ） 【MIT-AI+医学课程】面向生命科学的深度学习课程","children":[{"title":"【MIT-AI+医学课程】面向生命科学的深度学习课程","children":[{"title":"l01 Course Intro + Overview Foundations.pdf <span style='color:#111;'> 23.69MB </span>","children":null,"spread":false},{"title":"l07DNA Accessibility, Promoters and Enhancers.pdf <span style='color:#111;'> 13.96MB </span>","children":null,"spread":false},{"title":"l15aGraph analysis.pdf <span style='color:#111;'> 10.00MB </span>","children":null,"spread":false},{"title":"l08Transcription Factors, DNA methylation.pdf <span style='color:#111;'> 93.49MB </span>","children":null,"spread":false},{"title":"l10Single cell RNA-sequencing.pdf <span style='color:#111;'> 68.80MB </span>","children":null,"spread":false},{"title":"l05Interpretability, Dimensionality Reduction.pdf <span style='color:#111;'> 5.55MB </span>","children":null,"spread":false},{"title":"l15bGraph analysis.pdf <span style='color:#111;'> 23.97MB </span>","children":null,"spread":false},{"title":"l13eQTLs.pdf <span style='color:#111;'> 22.11MB </span>","children":null,"spread":false},{"title":"l24aNeuroscience.pdf <span style='color:#111;'> 50.36MB </span>","children":null,"spread":false},{"title":"l23aEHRs and data mining.pdf <span style='color:#111;'> 6.61MB </span>","children":null,"spread":false},{"title":"l14Electronic health records and patient data.pdf <span style='color:#111;'> 22.85MB </span>","children":null,"spread":false},{"title":"l22bImaging and Cancer.pdf <span style='color:#111;'> 2.17MB </span>","children":null,"spread":false},{"title":"l09Gene Expression, Splicing.pdf <span style='color:#111;'> 24.94MB </span>","children":null,"spread":false},{"title":"l11aDimensionality Reduction, Genetics, and Variation.pdf <span style='color:#111;'> 69.90MB </span>","children":null,"spread":false},{"title":"l02ML Foundations.pdf <span style='color:#111;'> 8.14MB </span>","children":null,"spread":false},{"title":"l21Video processing, structure determination.pdf <span style='color:#111;'> 5.47MB </span>","children":null,"spread":false},{"title":"l22aImaging and Cancer.pdf <span style='color:#111;'> 11.56MB </span>","children":null,"spread":false},{"title":"l12GWAS and Rare variants.pdf <span style='color:#111;'> 26.92MB </span>","children":null,"spread":false},{"title":"l06Generative Models, GANs, VAE.pdf <span style='color:#111;'> 23.88MB </span>","children":null,"spread":false},{"title":"l03Convolutional Neural Networks.pdf <span style='color:#111;'> 28.40MB </span>","children":null,"spread":false},{"title":"l20bImaging applications in healthcare.pdf <span style='color:#111;'> 21.58MB </span>","children":null,"spread":false},{"title":"l17bProtein folding.pdf <span style='color:#111;'> 4.08MB </span>","children":null,"spread":false},{"title":"l17aProtein folding.pdf <span style='color:#111;'> 14.44MB </span>","children":null,"spread":false},{"title":"l04Recurrent Neural Networks, Graph Neural Networks.pdf <span style='color:#111;'> 12.45MB </span>","children":null,"spread":false},{"title":"l20aImaging applications in healthcare.pdf <span style='color:#111;'> 29.25MB </span>","children":null,"spread":false},{"title":"l11bDimensionality Reduction, Genetics, and Variation.pdf <span style='color:#111;'> 26.39MB </span>","children":null,"spread":false},{"title":"l24bNeuroscience.pdf <span style='color:#111;'> 64.92MB </span>","children":null,"spread":false},{"title":"l16Drug discovery.pdf <span style='color:#111;'> 45.33MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]