National Repository of Grey Literature 12 records found  previous11 - 12  jump to record: Search took 0.01 seconds. 
Human lymphopoiesis and its examination via single-cell analysis
Novák, David ; Kalina, Tomáš (advisor) ; Drbal, Karel (referee)
Development of human B-lymphocytes is a convoluted process. A self-renewing stem cell progenitor in a primary lymphoid tissue commits to the lymphoid lineage. Subsequent B-lineage commitment entails somatic gene recombination processes which lead to the eventual expression of a surface antigen receptor. Functionality of the B-cell receptor, as well as successful testing for autoreactivity by the cell, are preconditions for the differenti- ation of a mature B-lymphocyte. Processes within this development are often investigated using single-cell analysis via flow cytometry, fluorescence-activated cell sorting and mass cytometry. Coupling these high-throughput methods with modern approaches to data analysis carries enormous potential in revealing rare cell populations and aberrant events in haematopoiesis. Keywords: B-lymphocyte, lymphopoiesis, flow cytometry, FACS, mass cytometry, clus- ter analysis, FlowSOM, PCA, t-SNE, Wanderlust.
Activity of Neural Network in Hidden Layers - Visualisation and Analysis
Fábry, Marko ; Grézl, František (referee) ; Karafiát, Martin (advisor)
Goal of this work was to create system capable of visualisation of activation function values, which were produced by neurons placed in hidden layers of neural networks used for speech recognition. In this work are also described experiments comparing methods for visualisation, visualisations of neural networks with different architectures and neural networks trained with different types of input data. Visualisation system implemented in this work is based on previous work of Mr. Khe Chai Sim and extended with new methods of data normalization. Kaldi toolkit was used for neural network training data preparation. CNTK framework was used for neural network training. Core of this work - the visualisation system was implemented in scripting language Python.

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