Evidence that natural immunity to breast cancer and prostate cancer exists in the majority of their risk populations is predicted by a novel, inherently saturated, ordered mutation model.

Kramer, Ivan

Computational & Mathematical Methods in Medicine (2008)

  • Volume: 9, Issue: 1, page 1-26
  • ISSN: 1748-670X

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Kramer, Ivan. "Evidence that natural immunity to breast cancer and prostate cancer exists in the majority of their risk populations is predicted by a novel, inherently saturated, ordered mutation model.." Computational & Mathematical Methods in Medicine 9.1 (2008): 1-26. <http://eudml.org/doc/223157>.

@article{Kramer2008,
author = {Kramer, Ivan},
journal = {Computational & Mathematical Methods in Medicine},
keywords = {cancer; natural immunity prevalence; immunosurveillance; incidence rate; saturated ordered mutation model; immmunoediting},
language = {eng},
number = {1},
pages = {1-26},
publisher = {Hindawi Publishing Corporation, New York},
title = {Evidence that natural immunity to breast cancer and prostate cancer exists in the majority of their risk populations is predicted by a novel, inherently saturated, ordered mutation model.},
url = {http://eudml.org/doc/223157},
volume = {9},
year = {2008},
}

TY - JOUR
AU - Kramer, Ivan
TI - Evidence that natural immunity to breast cancer and prostate cancer exists in the majority of their risk populations is predicted by a novel, inherently saturated, ordered mutation model.
JO - Computational & Mathematical Methods in Medicine
PY - 2008
PB - Hindawi Publishing Corporation, New York
VL - 9
IS - 1
SP - 1
EP - 26
LA - eng
KW - cancer; natural immunity prevalence; immunosurveillance; incidence rate; saturated ordered mutation model; immmunoediting
UR - http://eudml.org/doc/223157
ER -

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