Author
Shubham Tripathi
Yale UniversityORCID 0000-0002-0141-987XUnclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2022-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 32 mutual co-author links5 papers
Recent·Most cited
- Systems BiologyBiophysical JournalPeer-reviewed
A multi-level formalism to model hybrid phenotypes in Epithelial-Mesenchymal Plasticity
Kishore Hari, Shubham Tripathi, Vaibhav Anand…·Herbert Levine
The paper introduces a multilevel Boolean model to capture hybrid epithelial-mesenchymal phenotypes, revealing more stable and biologically relevant hybrid states than traditional binary models.
- ImmunologybioRxivPreprint
Constraints and tunability of antigen-agnostic memory durability
Shubham Tripathi, Can Liu, William W. Lau…·John S. Tsang
This study develops mathematical models and simulations to show that antigen-agnostic memory durability is constrained by immune cell turnover, cytokine dependence, and epigenetic state transmission, and can be tuned via cytokine-mediated feedback.
- Systems BiologybioRxivPreprint
Reconstruction of single cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition
Yu-Chen Cheng, Yun Zhang, Shubham Tripathi…·Franziska Michor A
This study uses optimal transport analysis on scRNA-seq data to reconstruct EMT trajectories in MCF10A cells, identifying three distinct fates and novel genes associated with different EMT states.
- Systems BiologybioRxivPreprint
Minimal frustration underlies the usefulness of incomplete and inexact regulatory network models in biology
Shubham Tripathi, David A. Kessler, Herbert Levine
The paper shows that minimal frustration in biological networks allows simple, low-dimensional behavior despite their complexity, explaining the effectiveness of incomplete regulatory network models.
1 citation