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Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks.

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Title: Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks.
Authors: Yao, Tsung-Hung1, yaots@umich.edu, Ni, Yang2, Bhadra, Anindya3, Kang, Jian1, Baladandayuthapani, Veerabhadran1, veerab@umich.edu
Source: Biometrics; Mar2025, Vol. 81 Issue 1, p1-12, 12p
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="AU" term="%22Yao%2C+Tsung-Hung%22">Yao, Tsung-Hung</searchLink><relatesTo>1</relatesTo>, <i>yaots@umich.edu</i><br /><searchLink fieldCode="AU" term="%22Ni%2C+Yang%22">Ni, Yang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Bhadra%2C+Anindya%22">Bhadra, Anindya</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Kang%2C+Jian%22">Kang, Jian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Baladandayuthapani%2C+Veerabhadran%22">Baladandayuthapani, Veerabhadran</searchLink><relatesTo>1</relatesTo>, <i>veerab@umich.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Biometrics%22">Biometrics</searchLink>; Mar2025, Vol. 81 Issue 1, p1-12, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185489136
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        Value: 10.1093/biomtc/ujae160
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        Text: English
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              Text: Mar2025
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