Epigenetic PaceMaker: Closed Form Algebraic Solutions

Sagi Snir

Epigenetic PaceMaker: Closed Form Algebraic Solutions

Department of Evolutionary and Environmental Biology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Original language	English
Title of host publication	RECOMB - Comparative Genomics 2019
State	Published - 2019

Bibliographical note

Funding Information:
We would like to thank the three reviewers of this manuscript for their detailed and supportive comments that helped us to improve substantially the paper. The authors also acknowledge the Computational Genomics Summer Institute funded by NIH Grant GM112625 that fostered international collaboration among the groups involved in this project. We also wish to thank Matteo Pellegrini and Colin Farrell for helpful discussions about the manuscript.

Funding Information:
The publication cost of this article was funded by the VW Foundation, project VWZN3157. Part of this research was done when SS attended the computational genomics summer institute (CGSI) at UCLA.

Publisher Copyright:
© 2020 The Author(s).

Keywords

Conditional Expectation Maximization
Epigenetics
Matrix Multiplication
Symbolic Algebra
Universal PaceMaker

ASJC Scopus subject areas

Biotechnology
Genetics

Cite this

@inproceedings{7aba96d47f464f459f143ffbd2b095db,

title = "Epigenetic PaceMaker: Closed Form Algebraic Solutions",

keywords = "Conditional Expectation Maximization, Epigenetics, Matrix Multiplication, Symbolic Algebra, Universal PaceMaker",

author = "Sagi Snir",

note = "Funding Information: We would like to thank the three reviewers of this manuscript for their detailed and supportive comments that helped us to improve substantially the paper. The authors also acknowledge the Computational Genomics Summer Institute funded by NIH Grant GM112625 that fostered international collaboration among the groups involved in this project. We also wish to thank Matteo Pellegrini and Colin Farrell for helpful discussions about the manuscript. Funding Information: The publication cost of this article was funded by the VW Foundation, project VWZN3157. Part of this research was done when SS attended the computational genomics summer institute (CGSI) at UCLA. Publisher Copyright: {\textcopyright} 2020 The Author(s).",

year = "2019",

language = "English",

booktitle = "RECOMB - Comparative Genomics 2019",

}

TY - GEN

T1 - Epigenetic PaceMaker

T2 - Closed Form Algebraic Solutions

AU - Snir, Sagi

N1 - Funding Information: We would like to thank the three reviewers of this manuscript for their detailed and supportive comments that helped us to improve substantially the paper. The authors also acknowledge the Computational Genomics Summer Institute funded by NIH Grant GM112625 that fostered international collaboration among the groups involved in this project. We also wish to thank Matteo Pellegrini and Colin Farrell for helpful discussions about the manuscript. Funding Information: The publication cost of this article was funded by the VW Foundation, project VWZN3157. Part of this research was done when SS attended the computational genomics summer institute (CGSI) at UCLA. Publisher Copyright: © 2020 The Author(s).

PY - 2019

Y1 - 2019

KW - Conditional Expectation Maximization

KW - Epigenetics

KW - Matrix Multiplication

KW - Symbolic Algebra

KW - Universal PaceMaker

UR - https://recombcg2019.bitbucket.io/program.html

M3 - Conference contribution

BT - RECOMB - Comparative Genomics 2019

ER -

Epigenetic PaceMaker: Closed Form Algebraic Solutions

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Other files and links

Cite this