Laetitia Papaxanthos

6PUBLICATIONS
51CO-AUTHORS
Multimodal analysis and synthesisProgramming languagesQuery processing and optimisationMedical biotechnology diagnostics (incl. biosensors)Deep learning
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Publications (6)

|Oct 16, 2025
Predicting sequence-specific amplification efficiency in multi-template PCR with deep learning.

Andreas L Gimpel, Bowen Fan, Dexiong Chen

|Nov 20, 2024
InterPro: the protein sequence classification resource in 2025.

Matthias Blum, Antonina Andreeva, Laise Cavalcanti Florentino

|Nov 14, 2024
The Pfam protein families database: embracing AI/ML.

Typhaine Paysan-Lafosse, Antonina Andreeva, Matthias Blum

|Jul 08, 2023
LSMMD-MA: scaling multimodal data integration for single-cell genomics data analysis.

Laetitia Meng-Papaxanthos, Ran Zhang, Gang Li

|May 31, 2022
Conditional generative modeling for de novo protein design with hierarchical functions.

Tim Kucera, Matteo Togninalli, Laetitia Meng-Papaxanthos

|Jul 17, 2020
Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping.

Simon Höllerer, Laetitia Papaxanthos, Anja Cathrin Gumpinger

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Frequent Collaborators

2 joint publications

Karsten Borgwardt

2 joint publications

Alex Bateman

2 joint publications

Silvio C E Tosatto

2 joint publications

Typhaine Paysan-Lafosse