A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics

Selami Baglamis; Joyaditya Saha; Maartje van der Heijden; Daniël M Miedema; Démi van Gent; Przemek M Krawczyk; Louis Vermeulen; Vivek M Sheraton

A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics

Selami Baglamis, Joyaditya Saha, Maartje van der Heijden, Daniël M Miedema, Démi van Gent, Przemek M Krawczyk, Louis Vermeulen, Vivek M Sheraton

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

Original language	Undefined/Unknown
Title of host publication	International Conference on Computational Science
Pages	345-359
Number of pages	15
Publication status	Published - 2023

Cite this

@inproceedings{e922dd472d364eb89582615a16c06b91,

title = "A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics",

author = "Selami Baglamis and Joyaditya Saha and {der Heijden}, {Maartje van} and Miedema, {Dani{\"e}l M} and {van Gent}, D{\'e}mi and Krawczyk, {Przemek M} and Louis Vermeulen and Sheraton, {Vivek M}",

year = "2023",

language = "Undefined/Unknown",

pages = "345--359",

booktitle = "International Conference on Computational Science",

}

TY - GEN

T1 - A Novel High-Throughput Framework to Quantify Spatio-Temporal Tumor Clonal Dynamics

AU - Baglamis, Selami

AU - Saha, Joyaditya

AU - der Heijden, Maartje van

AU - Miedema, Daniël M

AU - van Gent, Démi

AU - Krawczyk, Przemek M

AU - Vermeulen, Louis

AU - Sheraton, Vivek M

PY - 2023

Y1 - 2023

M3 - Conference contribution

SP - 345

EP - 359

BT - International Conference on Computational Science

ER -