Author

S. Batzoglou

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· 2 Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:deep learning· 3 Assay:proteomics· 3 Research Focus:differential expression· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

A. Siddiqui· 3 shared J. Wang· 3 shared O. C. Farokhzad· 3 shared D. Hornburg· 2 shared M. K. R. Donovan· 2 shared R. W. Benz· 2 shared S. Ferdosi· 2 shared Y. Huang· 2 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersBiochemistry

A. Siddiqui

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Protein Coronas on Functionalized Nanoparticles Enable Quantitative and Precise Large-Scale Deep Plasma Proteomics

T. Huang, J. Wang, A. Stukalov, M. K. R. Donovan, S. Ferdosi, L. Williamson, S. Just, G. Castro, L. S. Cantrell, E. Elgierari, R. W. Benz, Y. Huang, K. Motamedchaboki, A. Hakimi, T. Arrey, , D. Hornburg

This paper demonstrates that nanoparticle-based proteomics workflows enable accurate and scalable deep plasma proteomics with high precision and statistical power for biomarker discovery.

bioRxiv · Aug 28, 2023 · PreprintBiochemistry

Enhanced competitive protein exchange at the nano-bio interface enables ultra-deep coverage of the human plasma proteome

D. Hornburg, S. Ferdosi, M. Hasan, B. Tangeysh, T. R. Brown, T. Wang, E. M. Elgierari, X. Zhao, A. Alavi, J. Chu, M. Figa, W. Tao, J. Wang, M. Goldberg, H. Xia, , O. C. Farokhzad

The paper develops a method using engineered nanoparticles to enhance plasma proteome coverage by optimizing protein-NP interactions and competition, resulting in deeper and more consistent proteomic profiling.

bioRxiv · Jan 8, 2022 · PreprintBiophysics

Functionally distinct BMP1 isoforms show an opposite pattern of abundance in plasma from non-small cell lung cancer subjects and controls

M. K. R. Donovan, Y. Huang, J. E. Blume, J. Wang, D. Hornberg, I. Mohtashemi, S. Kim, M. Ko, R. W. Benz, T. L. Platt, S. Batzoglou, O. C. Farokhzad, A. Siddiqui

The paper identifies BMP1 isoforms with opposite abundance patterns in NSCLC and control plasma proteomes, suggesting differential regulation linked to disease progression.

bioRxiv · Jan 7, 2022 · PreprintCancer Biology

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival

D. Ramazzotti, A. Lal, B. Wang, S. Batzoglou, A. Sidow

This paper introduces CIMLR, a multi-omic integration method that identifies cancer subtypes associated with survival differences across 36 cancer types.

bioRxiv · Oct 14, 2018Cancer Biology