摘要:

The motion of a cell is modelled by a continuous-time Markov chain whose states are sectors of angles at which the cell moves, plus an additional ‘ 0 ’ state, where two or more cells adhere to each other. The stationary distribution for this Markov chain is readily computed, and the componentp¯(0), the probability that a cell will ultimately end up adhering to another is used as a measure of cell adhesion for the cell type under consideration. The Markov chain model also permits the definition of a measure for contact alignment and the formulation of a mathematical definition for ‘ sorting out ’ of different cell types.

ISSN:0020-7721    

DOI:10.1080/00207727708942076

出版商:Taylor & Francis Group    

年代:1977

数据来源: Taylor

摘要:

A method is presented for inverting a linear time-invariant systemx = Ax+Bu,y=Cx, whereBhas full column rank andChas full row rank. Matrix generalized inverses are used to express the Laplace transform of the input vector in terms of the Laplace transform of the output vector.

ISSN:0020-7721    

DOI:10.1080/00207727708942077

出版商:Taylor & Francis Group    

年代:1977

数据来源: Taylor