Tara Eicher
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Explore the profile of Tara Eicher including associated specialties, affiliations and a list of published articles.
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7
Citations
79
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Recent Articles
1.
Eicher T, Kelly R, Braisted J, Siddiqui J, Celedon J, Clish C, et al.
medRxiv
. 2024 Jun;
PMID: 38883716
Serum total immunoglobulin E levels (total IgE) capture the state of the immune system in relation to allergic sensitization. High levels are associated with airway obstruction and poor clinical outcomes...
2.
Eicher T, Spencer K, Siddiqui J, Machiraju R, Mathe E
Bioinform Adv
. 2023 Mar;
3(1):vbad009.
PMID: 36922980
Motivation: IntLIM uncovers phenotype-dependent linear associations between two types of analytes (e.g. genes and metabolites) in a multi-omic dataset, which may reflect chemically or biologically relevant relationships. Results: The new...
3.
Braisted J, Patt A, Tindall C, Sheils T, Neyra J, Spencer K, et al.
Bioinformatics
. 2022 Nov;
39(1).
PMID: 36373969
Motivation: Functional interpretation of high-throughput metabolomic and transcriptomic results is a crucial step in generating insight from experimental data. However, pathway and functional information for genes and metabolites are distributed...
4.
Eicher T, Chan J, Luu H, Machiraju R, Mathe E
BMC Bioinformatics
. 2021 Jan;
22(1):35.
PMID: 33516170
Background: Assigning chromatin states genome-wide (e.g. promoters, enhancers, etc.) is commonly performed to improve functional interpretation of these states. However, computational methods to assign chromatin state suffer from the following...
5.
Brimacombe K, Zhao T, Eastman R, Hu X, Wang K, Backus M, et al.
bioRxiv
. 2020 Jun;
PMID: 32511420
The National Center for Advancing Translational Sciences (NCATS) has developed an online open science data portal for its COVID-19 drug repurposing campaign - named OpenData - with the goal of...
6.
Eicher T, Kinnebrew G, Patt A, Spencer K, Ying K, Ma Q, et al.
Metabolites
. 2020 May;
10(5).
PMID: 32429287
As researchers are increasingly able to collect data on a large scale from multiple clinical and omics modalities, multi-omics integration is becoming a critical component of metabolomics research. This introduces...
7.
Eicher T, Patt A, Kautto E, Machiraju R, Mathe E, Zhang Y
BMC Bioinformatics
. 2019 Dec;
20(Suppl 24):669.
PMID: 31861998
Background: Proteomic measurements, which closely reflect phenotypes, provide insights into gene expression regulations and mechanisms underlying altered phenotypes. Further, integration of data on proteome and transcriptome levels can validate gene...