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Patterns (New York, N.Y.)
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May 1, 2023
SynapseCLR: Uncovering features of synapses in primary visual cortex through contrastive representation learning
Alyssa Wilson, Mehrtash Babadi
Iucrj
|
May 15, 2018
Multiple-scale structures: from Faraday waves to soft-matter quasicrystals
Samuel Savitz, Mehrtash Babadi, Ron Lifshitz
NPJ Digital Medicine
|
November 14, 2025
STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images
Tinglin Huang, Tianyu Liu, Mehrtash Babadi, et al.
Cell Systems
|
April 5, 2025
Explainable modeling of single-cell perturbation data using attention and sparse dictionary learning
Yang Xu, Stephen Fleming, Matthew Tegtmeyer, et al.
Biorxiv : the Preprint Server for Biology
|
April 1, 2024
Modeling interpretable correspondence between cell state and perturbation response with CellCap
Yang Xu, Stephen Fleming, Matthew Tegtmeyer, et al.
Biorxiv : the Preprint Server for Biology
|
August 12, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Robert van Dijk, John Arevalo, Mehrtash Babadi, et al.
Plos Computational Biology
|
November 11, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Robert van Dijk, John Arevalo, Mehrtash Babadi, et al.
Physical Review Letters
|
March 17, 2011
Competition between pairing and ferromagnetic instabilities in ultracold Fermi gases near Feshbach resonances
David Pekker, Mehrtash Babadi, Rajdeep Sensarma, et al.
Biorxiv : the Preprint Server for Biology
|
December 12, 2025
multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data
Yang Xu, Stephen J Fleming, Brice Wang, et al.
Biorxiv : the Preprint Server for Biology
|
February 6, 2026
A supervised ontology-aware cell annotation method for single-cell transcriptomic data
Nimish Magre, Ebtisam Alshehri, Fedor Grab, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
Patterns (New York, N.Y.)
|
May 1, 2023
SynapseCLR: Uncovering features of synapses in primary visual cortex through contrastive representation learning
Alyssa Wilson, Mehrtash Babadi
Iucrj
|
May 15, 2018
Multiple-scale structures: from Faraday waves to soft-matter quasicrystals
Samuel Savitz, Mehrtash Babadi, Ron Lifshitz
NPJ Digital Medicine
|
November 14, 2025
STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images
Tinglin Huang, Tianyu Liu, Mehrtash Babadi, et al.
Cell Systems
|
April 5, 2025
Explainable modeling of single-cell perturbation data using attention and sparse dictionary learning
Yang Xu, Stephen Fleming, Matthew Tegtmeyer, et al.
Biorxiv : the Preprint Server for Biology
|
April 1, 2024
Modeling interpretable correspondence between cell state and perturbation response with CellCap
Yang Xu, Stephen Fleming, Matthew Tegtmeyer, et al.
Biorxiv : the Preprint Server for Biology
|
August 12, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Robert van Dijk, John Arevalo, Mehrtash Babadi, et al.
Plos Computational Biology
|
November 11, 2024
Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning
Robert van Dijk, John Arevalo, Mehrtash Babadi, et al.
Physical Review Letters
|
March 17, 2011
Competition between pairing and ferromagnetic instabilities in ultracold Fermi gases near Feshbach resonances
David Pekker, Mehrtash Babadi, Rajdeep Sensarma, et al.
Biorxiv : the Preprint Server for Biology
|
December 12, 2025
multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data
Yang Xu, Stephen J Fleming, Brice Wang, et al.
Biorxiv : the Preprint Server for Biology
|
February 6, 2026
A supervised ontology-aware cell annotation method for single-cell transcriptomic data
Nimish Magre, Ebtisam Alshehri, Fedor Grab, et al.
Page
of 4