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Matt Thomson

Showing results (1-10 of 45) with videos related to

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Cell|February 3, 2023
Spin glasses, error correcting codes, and synchronization of human stem cell organoidsMatt Thomson
Biorxiv : the Preprint Server for Biology|November 19, 2025
Rapid discovery of new-to-nature protein domains by novelty-first forcing of language modelsArjuna Subramanian, Matt Thomson
Plos Computational Biology|September 26, 2014
Environmental statistics and optimal regulationDavid A Sivak, Matt Thomson
Cell Systems|June 9, 2022
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environmentsZitong Jerry Wang, Matt Thomson
Nature Computational Science|January 4, 2024
Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVMXiaoqiao Chen, Sisi Chen, Matt Thomson
Biorxiv : the Preprint Server for Biology|November 19, 2025
Pretrained protein language models choose between sequence novelty and structural completenessArjuna M Subramanian, Zachary A Martinez, Matt Thomson
Biorxiv : the Preprint Server for Biology|March 31, 2025
Revealing a coherent cell state landscape across single cell datasets with CONCORDQin Zhu, Zuzhi Jiang, Matt Thomson, et al.
Soft Matter|December 20, 2021
Reinforcement learning reveals fundamental limits on the mixing of active particlesDominik Schildknecht, Anastasia N Popova, Jack Stellwagen, et al.
Cell Systems|May 3, 2016
Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow SequencingGraham Heimberg, Rajat Bhatnagar, Hana El-Samad, et al.
Scientific Reports|November 26, 2020
Single cell profiling of capillary blood enables out of clinic human immunity studiesTatyana Dobreva, David Brown, Jong Hwee Park, et al.
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Cell|February 3, 2023
Spin glasses, error correcting codes, and synchronization of human stem cell organoidsMatt Thomson
Biorxiv : the Preprint Server for Biology|November 19, 2025
Rapid discovery of new-to-nature protein domains by novelty-first forcing of language modelsArjuna Subramanian, Matt Thomson
Plos Computational Biology|September 26, 2014
Environmental statistics and optimal regulationDavid A Sivak, Matt Thomson
Cell Systems|June 9, 2022
Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environmentsZitong Jerry Wang, Matt Thomson
Nature Computational Science|January 4, 2024
Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVMXiaoqiao Chen, Sisi Chen, Matt Thomson
Biorxiv : the Preprint Server for Biology|November 19, 2025
Pretrained protein language models choose between sequence novelty and structural completenessArjuna M Subramanian, Zachary A Martinez, Matt Thomson
Biorxiv : the Preprint Server for Biology|March 31, 2025
Revealing a coherent cell state landscape across single cell datasets with CONCORDQin Zhu, Zuzhi Jiang, Matt Thomson, et al.
Soft Matter|December 20, 2021
Reinforcement learning reveals fundamental limits on the mixing of active particlesDominik Schildknecht, Anastasia N Popova, Jack Stellwagen, et al.
Cell Systems|May 3, 2016
Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow SequencingGraham Heimberg, Rajat Bhatnagar, Hana El-Samad, et al.
Scientific Reports|November 26, 2020
Single cell profiling of capillary blood enables out of clinic human immunity studiesTatyana Dobreva, David Brown, Jong Hwee Park, et al.
Pageof 5