Amit Frishberg
Overview
Explore the profile of Amit Frishberg including associated specialties, affiliations and a list of published articles.
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13
Citations
258
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Recent Articles
1.
Zappia L, Richter S, Ramirez-Suastegui C, Kfuri-Rubens R, Vornholz L, Wang W, et al.
Nat Methods
. 2025 Mar;
PMID: 40082610
The availability of single-cell transcriptomics has allowed the construction of reference cell atlases, but their usefulness depends on the quality of dataset integration and the ability to map new samples....
2.
Asani B, Holmberg O, Schiefelbein J, Hafner M, Herold T, Spitzer H, et al.
Eye (Lond)
. 2024 Jul;
38(16):3180-3186.
PMID: 39068248
Objectives: To determine real-life quantitative changes in OCT biomarkers in a large set of treatment naive patients in a real-life setting undergoing anti-VEGF therapy. For this purpose, we devised a...
3.
Frishberg A, Milman N, Alpert A, Spitzer H, Asani B, Schiefelbein J, et al.
Nat Commun
. 2023 Oct;
14(1):6840.
PMID: 37891175
Diseases change over time, both phenotypically and in their underlying molecular processes. Though understanding disease progression dynamics is critical for diagnostics and treatment, capturing these dynamics is difficult due to...
4.
Kapellos T, Bassler K, Fujii W, Nalkurthi C, Schaar A, Bonaguro L, et al.
Cell Rep
. 2023 May;
42(6):112525.
PMID: 37243592
Systemic inflammation is established as part of late-stage severe lung disease, but molecular, functional, and phenotypic changes in peripheral immune cells in early disease stages remain ill defined. Chronic obstructive...
5.
Cohn O, Yankovitz G, Peshes-Yaloz N, Steuerman Y, Frishberg A, Brandes R, et al.
Cell Syst
. 2022 Dec;
13(12):1002-1015.e9.
PMID: 36516834
When challenged with an invading pathogen, the host-defense response is engaged to eliminate the pathogen (resistance) and to maintain health in the presence of the pathogen (disease tolerance). However, the...
6.
Frishberg A, Kooistra E, Nuesch-Germano M, Pecht T, Milman N, Reusch N, et al.
Cell Rep Med
. 2022 Jun;
3(6):100652.
PMID: 35675822
Disease recovery dynamics are often difficult to assess, as patients display heterogeneous recovery courses. To model recovery dynamics, exemplified by severe COVID-19, we apply a computational scheme on longitudinally sampled...
7.
Frishberg A, van den Munckhof I, Ter Horst R, Schraa K, Joosten L, Rutten J, et al.
Elife
. 2021 Jan;
10.
PMID: 33507147
Human diseases arise in a complex ecosystem composed of disease mechanisms and the whole-body state. However, the precise nature of the whole-body state and its relations with disease remain obscure....
8.
Levy M, Frishberg A, Gat-Viks I
Bioinformatics
. 2020 Mar;
36(11):3466-3473.
PMID: 32129824
Motivation: Cell-to-cell variation has uncovered associations between cellular phenotypes. However, it remains challenging to address the cellular diversity of such associations. Results: Here, we do not rely on the conventional...
9.
Frishberg A, Peshes-Yaloz N, Cohn O, Rosentul D, Steuerman Y, Valadarsky L, et al.
Nat Methods
. 2019 Mar;
16(4):327-332.
PMID: 30886410
Single-cell RNA sequencing (scRNA-seq) is a rich resource of cellular heterogeneity, opening new avenues in the study of complex tissues. We introduce Cell Population Mapping (CPM), a deconvolution algorithm in...
10.
Steuerman Y, Cohen M, Peshes-Yaloz N, Valadarsky L, Cohn O, David E, et al.
Cell Syst
. 2018 Jun;
6(6):679-691.e4.
PMID: 29886109
The influenza virus is a major cause of morbidity and mortality worldwide. Yet, both the impact of intracellular viral replication and the variation in host response across different cell types...