Last lecture summary. Orthogonal matrices independent basis, orthogonal basis, orthonormal vectors, normalization Put orthonormal vectors into a matrix.
Last lecture summary. Cluster analysis unsupervised hierarchical clustering – agglomerative – divisive – dendrogram partitional – k-means MITO BANARMFL.
Last lecture summary. Sequencing strategies Hierarchical genome shotgun HGS – Human Genome Project “map first, sequence second” clone-by-clone … cloning.
Lecture 3 Properties of Summary Statistics: Sampling Distribution.
Lecture invitation 8.4. 2015 AI, 14:30 (we will finish earlier this day, at 14:20) How Lab IT Accelerates Pharmaceutical Research For more information,
Last lecture summary. recombinant DNA technology DNA polymerase (copy DNA), restriction endonucleases (cut DNA), ligases (join DNA) DNA cloning – vector.
Last lecture summary. Multilayer perceptron MLP, the most famous type of neural network input layerhidden layeroutput layer.
