Author

A. J. Levine

University of California, Los Angeles

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3 Developmental Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:mouse· 2 Research Focus:protein structure prediction· 2 Assay:whole-exome sequencing· 2

Frequent Co-Authors

J. O. Deasy· 2 shared A ArnesoniD· 1 shared A. J. Obaya· 1 shared A. R. Lim· 1 shared A. R. Tannenbaum· 1 shared A. Tannenbaum· 1 shared Ajoy AloysiusiD· 1 shared Ake Tzu-Hui LuiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCancer Biology

J. O. Deasy

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Author profile →

5 papers

Recent·Most cited

Accurate modeling of peptide-MHC structures with AlphaFold

V. Mikhaylov, A. J. Levine

The paper introduces an AlphaFold-based pipeline for predicting peptide-MHC complex structures, achieving high accuracy in class I and class II modeling.

Structure · Feb 1, 2024Peer-reviewedImmunology

Universal DNA methylation age across mammalian tissues

Ake Tzu-Hui Lu, Zhe Fei, Amin Haghani, Todd R. Robeck, Joseph Alan Zoller, Caesar Z. Li, Robert Lowe, Qi Jiang Yan, Joshua Zhang, H. Vu, Julia Ablaeva, Victoria A. Acosta-Rodríguez, Danielle M. Adams, Javier Almunia, Ajoy Aloysius, , June Mergl

The paper develops universal epigenetic clocks that accurately estimate age across mammalian tissues using DNA methylation data from 185 species.

Nature Aging · Aug 10, 2023Peer-reviewedDevelopmental Biology

Geometric Network Analysis Provides Prognostic Information in Patients with High Grade Serous Carcinoma of the Ovary Treated with Immune Checkpoint Inhibitors

R. Elkin, J. H. Oh, Y. L. Liu, P. Selenica, B. Weigelt, J. S. Reis-Filho, D. Zamarin, J. O. Deasy, L. Norton, A. J. Levine, A. R. Tannenbaum

This paper introduces a network curvature-based method to predict prognosis in high-grade serous ovarian cancer patients treated with immune checkpoint inhibitors using copy number alterations.

bioRxiv · Jun 10, 2021Cancer Biology

Identification of Relevant Genetic Alterations in Cancer using Topological Data Analysis

R. Rabadan, Y. Mohamedi, U. Rubin, T. Chu, O. Elliott, L. Arnes, S. Cal, A. J. Obaya, A. J. Levine, P. G. Camara

This study identifies 38 candidate cancer-associated genes using topological data analysis integrated with somatic mutations and RNA expression data across 12 tumor types.

bioRxiv · Jan 30, 2020Cancer Biology

Robust and Interpretable PAM50 Reclassification Exhibits Survival Advantage for Myoepithelial and Immune Phenotypes

J. Mathews, S. Nadeem, A. J. Levine, M. Pouryahya, J. O. Deasy, A. Tannenbaum

The paper reclassifies breast tumors into 7 classes using interpretable mRNA signatures, showing improved survival outcomes for myoepithelial and immune-related phenotypes.

bioRxiv · Jul 16, 2019Cancer Biology