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Mike Thompson

7PUBLICATIONS
35CO-AUTHORS
Sequence analysisIndustrial molecular engineering of nucleic acids and proteinsGene expression (incl. microarray and other genome-wide approaches)Epigenetics (incl. genome methylation and epigenomics)Microbial ecology
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Journal

Publications (7)

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|Apr 30, 2025
Massive experimental quantification allows interpretable deep learning of protein aggregation.

Mike Thompson, Mariano Martín, Trinidad Sanmartín Olmo

|Jul 29, 2024
Massive experimental quantification of amyloid nucleation allows interpretable deep learning of protein aggregation.

Mike Thompson, Mariano Martín, Trinidad Sanmartín Olmo

|Sep 28, 2022
Multi-context genetic modeling of transcriptional regulation resolves novel disease loci.

Mike Thompson, Mary Grace Gordon, Andrew Lu

|Apr 07, 2022
Single-cell RNA-seq reveals cell type-specific molecular and genetic associations to lupus.

Richard K Perez, M Grace Gordon, Meena Subramaniam

|Jul 14, 2019
CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets.

Mike Thompson, Zeyuan Johnson Chen, Elior Rahmani

|Jun 28, 2019
Modeling the temporal dynamics of the gut microbial community in adults and infants.

Liat Shenhav, Ori Furman, Leah Briscoe

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Frequent Collaborators

2 joint publications

Peter K Koo

2 joint publications

Benedetta Bolognesi

2 joint publications

Mariano Martín

2 joint publications

Ben Lehner

2 joint publications

Chun Jimmie Ye

2 joint publications

Noah Zaitlen

1 joint publications

Liat Shenhav

1 joint publications

Leah Briscoe

1 joint publications

M Grace Gordon

1 joint publications

Meena Subramaniam

Frequent Collaborators

2 joint publications

Peter K Koo

2 joint publications

Benedetta Bolognesi

2 joint publications

Mariano Martín

2 joint publications

Ben Lehner

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