Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors
碩士 === 國立中山大學 === 應用數學研究所 === 82 === Based on a two-stage stochastic model, we assume that the forming of an initiated cell from normal cells and the transformation of a malignant cell from initiated cells follow nonhomogeneous Poisson Proc...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
1994
|
Online Access: | http://ndltd.ncl.edu.tw/handle/84132385144044276092 |
id |
ndltd-TW-082NSYSU507004 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-082NSYSU5070042016-07-18T04:09:47Z http://ndltd.ncl.edu.tw/handle/84132385144044276092 Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors 致癌的二階段隨機模式及可觀測的腫瘤個數之研究 Shyu, Wei Chiun 徐偉鈞 碩士 國立中山大學 應用數學研究所 82 Based on a two-stage stochastic model, we assume that the forming of an initiated cell from normal cells and the transformation of a malignant cell from initiated cells follow nonhomogeneous Poisson Process and all the cells ( normal, initiated and malignant) are growing and dying according to a birth and death process. We derive the expected number of observable tumors in both cases where we either assume that a primary initiated cell and its descendants stay within the same clone and that at most one tumor in each clone can be observed or assume that a primary initiated cell may produce many primary malignant cells and each primary malignant cell is clone to itself and its descendants. Lee, Chin San 黎進三 1994 學位論文 ; thesis 17 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立中山大學 === 應用數學研究所 === 82 === Based on a two-stage stochastic model, we assume that the
forming of an initiated cell from normal cells and the
transformation of a malignant cell from initiated cells follow
nonhomogeneous Poisson Process and all the cells ( normal,
initiated and malignant) are growing and dying according to a
birth and death process. We derive the expected number of
observable tumors in both cases where we either assume that a
primary initiated cell and its descendants stay within the same
clone and that at most one tumor in each clone can be observed
or assume that a primary initiated cell may produce many
primary malignant cells and each primary malignant cell is
clone to itself and its descendants.
|
author2 |
Lee, Chin San |
author_facet |
Lee, Chin San Shyu, Wei Chiun 徐偉鈞 |
author |
Shyu, Wei Chiun 徐偉鈞 |
spellingShingle |
Shyu, Wei Chiun 徐偉鈞 Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors |
author_sort |
Shyu, Wei Chiun |
title |
Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors |
title_short |
Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors |
title_full |
Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors |
title_fullStr |
Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors |
title_full_unstemmed |
Two-stage Stochastic Model for Carcinogenesis and An Approach to Computing the Number of Observing Tumors |
title_sort |
two-stage stochastic model for carcinogenesis and an approach to computing the number of observing tumors |
publishDate |
1994 |
url |
http://ndltd.ncl.edu.tw/handle/84132385144044276092 |
work_keys_str_mv |
AT shyuweichiun twostagestochasticmodelforcarcinogenesisandanapproachtocomputingthenumberofobservingtumors AT xúwěijūn twostagestochasticmodelforcarcinogenesisandanapproachtocomputingthenumberofobservingtumors AT shyuweichiun zhìáideèrjiēduànsuíjīmóshìjíkěguāncèdezhǒngliúgèshùzhīyánjiū AT xúwěijūn zhìáideèrjiēduànsuíjīmóshìjíkěguāncèdezhǒngliúgèshùzhīyánjiū |
_version_ |
1718352760165892096 |