论文信息 - Associative noise-like coding memories for classification of biopolymers structures

Associative noise-like coding memories for classification of biopolymers structures

We have developed and applied a method that utilizes an associative noise-like coding memory to classify the distribution of important biopolymers in situ from microscopic images of cell nuclei. We have succesfully tested and validated our method both with simulated and real pattern. The esperimental results point out to the charming possibility of studying chromatin changes during the cell cycle

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