Machine Learning Approach for Untargeted Metabolomic Analysis of Plasma of Traumatic Brain Injured Mice

Sun Sunnie Chung; Anastasiya Kalinina

Machine Learning Approach for Untargeted Metabolomic Analysis of Plasma of Traumatic Brain Injured Mice

Sun Sunnie Chung
, Anastasiya Kalinina

Computer Science

Research output: Contribution to conference › Paper

Abstract

To identify an Unique Metabolomics Signature for Plasma of TBI Mice from Control Mice in Untargeted Metabolomics in Both Positive and Negative Ion Modes

Original language	English
State	Published - 2021
Event	Research Presentation for Veteran Hospital and University Hospital - Veteran Hospital, Cleveland Duration: Jan 1 2021 → …

Conference

Conference	Research Presentation for Veteran Hospital and University Hospital
Period	01/1/21 → …

Cite this

@conference{5c01d373fe374ce881db2a948ba82c22,

title = "Machine Learning Approach for Untargeted Metabolomic Analysis of Plasma of Traumatic Brain Injured Mice",

abstract = "To identify an Unique Metabolomics Signature for Plasma of TBI Mice from Control Mice in Untargeted Metabolomics in Both Positive and Negative Ion Modes",

author = "Chung, \{Sun Sunnie\} and Anastasiya Kalinina",

year = "2021",

language = "English",

note = "Research Presentation for Veteran Hospital and University Hospital ; Conference date: 01-01-2021",

}

TY - CONF

T1 - Machine Learning Approach for Untargeted Metabolomic Analysis of Plasma of Traumatic Brain Injured Mice

AU - Chung, Sun Sunnie

AU - Kalinina, Anastasiya

PY - 2021

Y1 - 2021

N2 - To identify an Unique Metabolomics Signature for Plasma of TBI Mice from Control Mice in Untargeted Metabolomics in Both Positive and Negative Ion Modes

AB - To identify an Unique Metabolomics Signature for Plasma of TBI Mice from Control Mice in Untargeted Metabolomics in Both Positive and Negative Ion Modes

M3 - Paper

T2 - Research Presentation for Veteran Hospital and University Hospital

Y2 - 1 January 2021

ER -