Inference on tissue transplantation experiments

Yue Wang; Boyu Zhang; Jérémie Kropp; Nadya Morozova

doi:10.1016/j.jtbi.2021.110645

Inference on tissue transplantation experiments

Yue Wang, Boyu Zhang, Jérémie Kropp, Nadya Morozova

Mathematics

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We review studies on tissue transplantation experiments for various species: one piece of the donor tissue is excised and transplanted into a slit in the host tissue, then observe the behavior of this grafted tissue. Although we have known the results of some transplantation experiments, there are many more possible experiments with unknown results. We develop a penalty function-based method that uses the known experimental results to infer the unknown experimental results. Similar experiments without similar results get penalized and correspond to smaller probability. This method can provide the most probable results of a group of experiments or the probability of a specific result for each experiment. This method is also generalized to other situations. Besides, we solve a problem: how to design experiments so that such a method can be applied most efficiently.

Original language	English (US)
Article number	110645
Journal	Journal of Theoretical Biology
Volume	520
DOIs	https://doi.org/10.1016/j.jtbi.2021.110645
State	Published - Jul 7 2021

All Science Journal Classification (ASJC) codes

Agricultural and Biological Sciences(all)
Applied Mathematics
Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)
Statistics and Probability
Modeling and Simulation

Keywords

Experimental design
Experimental result inference
Penalty function
Similarity between experiments

Access to Document

10.1016/j.jtbi.2021.110645

Cite this

@article{647bca26ba3a4ad1a958d112677a817c,

title = "Inference on tissue transplantation experiments",

abstract = "We review studies on tissue transplantation experiments for various species: one piece of the donor tissue is excised and transplanted into a slit in the host tissue, then observe the behavior of this grafted tissue. Although we have known the results of some transplantation experiments, there are many more possible experiments with unknown results. We develop a penalty function-based method that uses the known experimental results to infer the unknown experimental results. Similar experiments without similar results get penalized and correspond to smaller probability. This method can provide the most probable results of a group of experiments or the probability of a specific result for each experiment. This method is also generalized to other situations. Besides, we solve a problem: how to design experiments so that such a method can be applied most efficiently.",

keywords = "Experimental design, Experimental result inference, Penalty function, Similarity between experiments",

author = "Yue Wang and Boyu Zhang and J{\'e}r{\'e}mie Kropp and Nadya Morozova",

note = "Funding Information: The work of Yue Wang and J{\'e}r{\'e}mie Kropp was supported by the Simons Foundation (IH{\'E}S program of mathematical biology). The work of Nadya Morozova was carried out within the framework of the state assignment to Komarov Botanical Institute RAS No. AAAA-A18-118051590122–8. Funding Information: We would like to thank Dr. Simon Fourquet, Dr. Jie Ren, Dr. Alen Tosenberger, and Dr. Zikun Wang for helpful suggestions, and Prof. Mikhail Gromov, Prof. Robert Penner, and Prof. Hong Qian for fruitful discussions. The work of Yue Wang and J{\'e}r{\'e}mie Kropp was supported by the Simons Foundation (IH{\'E}S program of mathematical biology). The work of Nadya Morozova was carried out within the framework of the state assignment to Komarov Botanical Institute RAS No. AAAA-A18-118051590122–8. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2021",

month = jul,

day = "7",

doi = "10.1016/j.jtbi.2021.110645",

language = "English (US)",

volume = "520",

journal = "Journal of Theoretical Biology",

issn = "0022-5193",

publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Inference on tissue transplantation experiments

AU - Wang, Yue

AU - Zhang, Boyu

AU - Kropp, Jérémie

AU - Morozova, Nadya

N1 - Funding Information: The work of Yue Wang and Jérémie Kropp was supported by the Simons Foundation (IHÉS program of mathematical biology). The work of Nadya Morozova was carried out within the framework of the state assignment to Komarov Botanical Institute RAS No. AAAA-A18-118051590122–8. Funding Information: We would like to thank Dr. Simon Fourquet, Dr. Jie Ren, Dr. Alen Tosenberger, and Dr. Zikun Wang for helpful suggestions, and Prof. Mikhail Gromov, Prof. Robert Penner, and Prof. Hong Qian for fruitful discussions. The work of Yue Wang and Jérémie Kropp was supported by the Simons Foundation (IHÉS program of mathematical biology). The work of Nadya Morozova was carried out within the framework of the state assignment to Komarov Botanical Institute RAS No. AAAA-A18-118051590122–8. Publisher Copyright: © 2021 Elsevier Ltd

PY - 2021/7/7

Y1 - 2021/7/7

N2 - We review studies on tissue transplantation experiments for various species: one piece of the donor tissue is excised and transplanted into a slit in the host tissue, then observe the behavior of this grafted tissue. Although we have known the results of some transplantation experiments, there are many more possible experiments with unknown results. We develop a penalty function-based method that uses the known experimental results to infer the unknown experimental results. Similar experiments without similar results get penalized and correspond to smaller probability. This method can provide the most probable results of a group of experiments or the probability of a specific result for each experiment. This method is also generalized to other situations. Besides, we solve a problem: how to design experiments so that such a method can be applied most efficiently.

AB - We review studies on tissue transplantation experiments for various species: one piece of the donor tissue is excised and transplanted into a slit in the host tissue, then observe the behavior of this grafted tissue. Although we have known the results of some transplantation experiments, there are many more possible experiments with unknown results. We develop a penalty function-based method that uses the known experimental results to infer the unknown experimental results. Similar experiments without similar results get penalized and correspond to smaller probability. This method can provide the most probable results of a group of experiments or the probability of a specific result for each experiment. This method is also generalized to other situations. Besides, we solve a problem: how to design experiments so that such a method can be applied most efficiently.

KW - Experimental design

KW - Experimental result inference

KW - Penalty function

KW - Similarity between experiments

UR - http://www.scopus.com/inward/record.url?scp=85103925045&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85103925045&partnerID=8YFLogxK

U2 - 10.1016/j.jtbi.2021.110645

DO - 10.1016/j.jtbi.2021.110645

M3 - Article

C2 - 33640451

AN - SCOPUS:85103925045

SN - 0022-5193

VL - 520

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

M1 - 110645

ER -

Inference on tissue transplantation experiments

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this