Anthony Gitter
Overview
Explore the profile of Anthony Gitter including associated specialties, affiliations and a list of published articles.
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51
Citations
1587
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Recent Articles
1.
McNeela D, Sala F, Gitter A
ArXiv
. 2025 Feb;
PMID: 39975438
Machine learning models that embed graphs in non-Euclidean spaces have shown substantial benefits in a variety of contexts, but their application has not been studied extensively in the biological domain,...
2.
Martin C, Gitter A, Anantharaman K
Res Sq
. 2024 Oct;
PMID: 39399683
Exponential increases in microbial and viral genomic data demand transformational advances in scalable, generalizable frameworks for their interpretation. Standard homology-based functional analyses are hindered by the rapid divergence of microbial...
3.
Gitter A
Cell Syst
. 2024 Aug;
15(8):673-675.
PMID: 39173582
One snapshot of the peer review process for "Transcriptome data are insufficient to control false discoveries in regulatory network inference" (Kernfeld et al., 2024)..
4.
Zitnik M, Li M, Wells A, Glass K, Morselli Gysi D, Krishnan A, et al.
Bioinform Adv
. 2024 Aug;
4(1):vbae099.
PMID: 39143982
Summary: Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scales....
5.
Martin C, Gitter A, Anantharaman K
bioRxiv
. 2024 Aug;
PMID: 39131363
Exponential increases in microbial and viral genomic data demand transformational advances in scalable, generalizable frameworks for their interpretation. Standard homology-based functional analyses are hindered by the rapid divergence of microbial...
6.
Liu P, Page D, Ahlquist P, Ong I, Gitter A
bioRxiv
. 2024 Jul;
PMID: 38948762
Fully capturing cellular state requires examining genomic, epigenomic, transcriptomic, proteomic, and other assays for a biological sample and comprehensive computational modeling to reason with the complex and sometimes conflicting measurements....
7.
Gelman S, Johnson B, Freschlin C, Sharma A, DCosta S, Peters J, et al.
bioRxiv
. 2024 Apr;
PMID: 38559182
Protein language models trained on evolutionary data have emerged as powerful tools for predictive problems involving protein sequence, structure, and function. However, these models overlook decades of research into biophysical...
8.
Alnammi M, Liu S, Ericksen S, Ananiev G, Voter A, Guo S, et al.
J Chem Inf Model
. 2023 Aug;
63(17):5513-5528.
PMID: 37625010
Traditional small-molecule drug discovery is a time-consuming and costly endeavor. High-throughput chemical screening can only assess a tiny fraction of drug-like chemical space. The strong predictive power of modern machine-learning...
9.
Bruce J, Park E, Magnano C, Horswill M, Richards A, Potts G, et al.
PLoS Pathog
. 2023 Jul;
19(7):e1011492.
PMID: 37459363
HIV-1 spreads efficiently through direct cell-to-cell transmission at virological synapses (VSs) formed by interactions between HIV-1 envelope proteins (Env) on the surface of infected cells and CD4 receptors on uninfected...
10.
Rando H, Lordan R, Kolla L, Sell E, Lee A, Wellhausen N, et al.
mSystems
. 2023 Mar;
8(2):e0092822.
PMID: 36861992
In the 21st century, several emergent viruses have posed a global threat. Each pathogen has emphasized the value of rapid and scalable vaccine development programs. The ongoing severe acute respiratory...