Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes.

Thierry Chekouo; Francesco C. Stingo; Caleb A. Class; Yuanqing Yan; Zachary Bohannan; Yue Wei; Guillermo Garcia-Manero; Samir Hanash; Kim Anh

doi:10.1177/0962280219852721

Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes.

Thierry Chekouo
, Francesco C. Stingo
, Caleb A. Class
, Yuanqing Yan
, Zachary Bohannan
, Yue Wei
, Guillermo Garcia-Manero
, Samir Hanash
, Kim Anh

University of Calgary
University of Florence
University of Texas MD Anderson Cancer Center
University of Texas Health Science Center at Houston
University of Houston

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

Original language	American English
Journal	Statistical Methods in Medical Research
Volume	29
Issue number	4
DOIs	https://doi.org/10.1177/0962280219852721
State	Published - Apr 1 2020

Disciplines

Computational Biology
Biology

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10.1177/0962280219852721License: Unspecified

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@article{37eec9ef3f91465d98b2546746a0b1f5,

title = "Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes.",

author = "Thierry Chekouo and Stingo, \{Francesco C.\} and Class, \{Caleb A.\} and Yuanqing Yan and Zachary Bohannan and Yue Wei and Guillermo Garcia-Manero and Samir Hanash and Kim Anh",

note = "Human cancer cell line experiments are valuable for investigating drug sensitivity biomarkers. The number of biomarkers measured in these experiments is typically on the order of several thousand, whereas the number of samples is often limited to one or at most three replicates for each experimental condition.",

year = "2020",

month = apr,

day = "1",

doi = "10.1177/0962280219852721",

language = "American English",

volume = "29",

journal = "Statistical Methods in Medical Research",

number = "4",

}

TY - JOUR

T1 - Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes.

AU - Chekouo, Thierry

AU - Stingo, Francesco C.

AU - Class, Caleb A.

AU - Yan, Yuanqing

AU - Bohannan, Zachary

AU - Wei, Yue

AU - Garcia-Manero, Guillermo

AU - Hanash, Samir

AU - Anh, Kim

N1 - Human cancer cell line experiments are valuable for investigating drug sensitivity biomarkers. The number of biomarkers measured in these experiments is typically on the order of several thousand, whereas the number of samples is often limited to one or at most three replicates for each experimental condition.

PY - 2020/4/1

Y1 - 2020/4/1

UR - https://journals.sagepub.com/doi/full/10.1177/0962280219852721

U2 - 10.1177/0962280219852721

DO - 10.1177/0962280219852721

M3 - Article

VL - 29

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

IS - 4

ER -

Investigating protein patterns in human leukemia cell line experiments: A Bayesian approach for extremely small sample sizes.

Disciplines

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