1.2k citations
- ETH ZurichCH81 papers
- University of ZurichCH54 papers
- École Polytechnique Fédérale de LausanneCH25 papers
- University of LausanneCH23 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Institute of NeuroinformaticsCH13 papers
- European Bioinformatics InstituteGB9 papers
- University of BaselCH9 papers
- Sorbonne UniversitéFR8 papers
- Institute for Biomedical EngineeringCH7 papers
- University College LondonGB7 papers
- ZHAW Zurich University of Applied SciencesCH7 papers
160 papers
TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling
Julien Knafou, Luc Mottin, Anaïs Mottaz +2
The scarcity of non-English language data in specialized domains significantly limits the development of effective Natural Language Processing (NLP) tools. We present TransBERT, a…
Residue-Level Attributions in Protein Language Models Do Not Recover Allergen Epitopes
Jianzhou Yao, Anxiong Song, Katja Baerenfaller +1
Deep allergenicity classifiers are increasingly used in safety screening of novel foods, and recent protein language models have substantially improved protein-level allergenicity…
ElfCore: A 28nm Neural Processor Enabling Dynamic Structured Sparse Training and Online Self-Supervised Learning with Activity-Dependent Weight Update
Zhe Su, Giacomo Indiveri
In this paper, we present ElfCore, a 28nm digital spiking neural network processor tailored for event-driven sensory signal processing. ElfCore is the first to efficiently integrat…
LinkML: An Open Data Modeling Framework
Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris +33
Scientific research relies on well-structured, standardized data; however, much of it is stored in formats such as free-text lab notebooks, non-standardized spreadsheets, or data r…
MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
Madina Bekbergenova, Lucas Pradi, Benjamin Navet +15
Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. K…
Scalable Genomic Context Analysis with GCsnap2 on HPC Clusters
Reto Krummenacher, Osman Seckin Simsek, Michèle Leemann +4
GCsnap2 Cluster is a scalable, high performance tool for genomic context analysis, developed to overcome the limitations of its predecessor, GCsnap1 Desktop. Leveraging distributed…