Introduction to dimensionality reduction | Statistics for proteomics скачать в хорошем качестве

Introduction to dimensionality reduction | Statistics for proteomics

This lecture on dimensionality reduction was presented by Prof. Nikolai Slavov and is part of the course 𝑺𝒕𝒂𝒕𝒊𝒔𝒕𝒊𝒄𝒔 𝒇𝒐𝒓 𝒑𝒓𝒐𝒕𝒆𝒐𝒎𝒊𝒄𝒔: https://slavovlab.net/stats. The full YouTube playlist is available at http://stats.slavovlab.net. For more information see: Petelski A, Emmott E, Leduc A, Huffman RG, Specht H, Perlman D, Slavov N. (2021) Multiplexed single-cell proteomics using SCoPE2 Nature Protocols, doi: 10.1038/s41596-021-00616-z, https://doi.org/10.1038/s41596-021-00... J. B. Tenenbaum, V. de Silva, J. C. Langford, A Global Geometric Framework for Nonlinear Dimensionality Reduction, Science 290, (2000), 2319–2323. Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science 313.5786 (2006): 504-507. doi: 10.1126/science.1127647 Specht H, Emmott E, Petelski A, Huffman RG, Perlman D, Serra M, Kharchenko P, Koller A, Slavov N. Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2 bioRxiv (2019) https://doi.org/10.1101/665307 Genome Biol 22, 50 (2021). https://doi.org/10.1186/s13059-021-02... https://scope2.slavovlab.net/