Andrei Zinovyev – författare
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6 produkter
Computational Systems Biology of Cancer
Av Emmanuel Barillot, Laurence Calzone m. fl.
Häftad, 2020
692 kr
Lägg i varukorg
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput …
Computational Systems Biology of Cancer
Av Emmanuel Barillot, Laurence Calzone m. fl.
E-bok, 2012
796 kr
Lägg i varukorg
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models-integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput …
Computational Systems Biology of Cancer
Av Emmanuel Barillot, Laurence Calzone m. fl.
Inbunden, 2012
1883 kr
Lägg i varukorg
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput …
Computational Systems Biology of Cancer
Av Emmanuel Barillot, Laurence Calzone m. fl.
E-bok, 2012
838 kr
Lägg i varukorg
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models-integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput …
Principal Manifolds for Data Visualization and Dimension Reduction
Av Alexander N. Gorban, Balázs Kégl m. fl.
Häftad, 2007
2516 kr
Lägg i varukorg
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps …
Principal Manifolds for Data Visualization and Dimension Reduction
Av Andrei Zinovyev, Donald C. Wunsch m. fl.
E-bok, 2007
3157 kr
Lägg i varukorg
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools of data analysis, visualization and dimension reduction: Independent Component Analysis (ICA), Multidimensional Scaling (MDS), Nonlinear PCA (NLPCA), Self Organizing Maps …
