Raghu Machiraju
Overview
Explore the profile of Raghu Machiraju including associated specialties, affiliations and a list of published articles.
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Articles
65
Citations
700
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0
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Recent Articles
1.
Waltz L, Katari S, Hong C, Anup A, Colbert J, Potlapally A, et al.
Front Artif Intell
. 2025 Feb;
7:1496066.
PMID: 39917547
Introduction: Advancements in machine learning (ML) algorithms that make predictions from data without being explicitly programmed and the increased computational speeds of graphics processing units (GPUs) over the last decade...
2.
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...
3.
Wen R, Qiu Z, Marti G, Peterson E, Marques F, Bermudez A, et al.
J Transl Med
. 2024 Apr;
22(1):383.
PMID: 38659028
Background: Loss of AZGP1 expression is a biomarker associated with progression to castration resistance, development of metastasis, and poor disease-specific survival in prostate cancer. However, high expression of AZGP1 cells...
4.
Karageorgos G, Cho S, McDonough E, Chadwick C, Ghose S, Owens J, et al.
Front Bioinform
. 2024 Feb;
3:1296667.
PMID: 38323039
Prostate cancer is a highly heterogeneous disease, presenting varying levels of aggressiveness and response to treatment. Angiogenesis is one of the hallmarks of cancer, providing oxygen and nutrient supply to...
5.
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...
6.
Dey V, Machiraju R, Ning X
ACS Omega
. 2022 Mar;
7(11):9465-9483.
PMID: 35350358
Recent advances in molecular machine learning, especially deep neural networks such as graph neural networks (GNNs), for predicting structure-activity relationships (SAR) have shown tremendous potential in computer-aided drug discovery. However,...
7.
Bathe M, Hernandez R, Komiyama T, Machiraju R, Neogi S
ACS Nano
. 2021 Feb;
15(3):3586-3592.
PMID: 33636971
Conventional materials are reaching their limits in computation, sensing, and data storage capabilities, ushered in by the end of Moore's law, myriad sensing applications, and the continuing exponential rise in...
8.
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...
9.
Johnson T, Xiang S, Helm B, Abrams Z, Neidecker P, Machiraju R, et al.
Sci Rep
. 2020 Oct;
10(1):18014.
PMID: 33093481
Single-cell RNA sequencing (scRNA-seq) resolves heterogenous cell populations in tissues and helps to reveal single-cell level function and dynamics. In neuroscience, the rarity of brain tissue is the bottleneck for...
10.
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...