SORS: machine learning in systems biology: now and next

For decades, bioinformatics has been concerned with gaining new knowledge from large data sets in the life sciences. Machine learning, often referred to as artificial intelligence, has enabled breakthroughs in bioinformatics in recent years that were previously difficult to imagine. In my talk, I will present the previous contributions and the plans of my lab at the interface of machine learning and bioinformatics. In particular, I will describe our efforts in learning on graphs and medical informatics, and how it influences our current work on protein bioinformatics.

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Publication Details

Journal
QRU Quaderns de Recerca en Urbanisme
Published
2024-10-10
Primary Topic
Bioinformatics and Genomic Networks
Type
article
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article

SORS: machine learning in systems biology: now and next

Karsten Borgwardt
QRU Quaderns de Recerca en Urbanisme
Bioinformatics and Genomic Networks
article

SORS: machine learning in systems biology: now and next

Karsten Borgwardt
article en

Abstract

For decades, bioinformatics has been concerned with gaining new knowledge from large data sets in the life sciences. Machine learning, often referred to as artificial intelligence, has enabled breakthroughs in bioinformatics in recent years that were previously difficult to imagine. In my talk, I will present the previous contributions and the plans of my lab at the interface of machine learning and bioinformatics. In particular, I will describe our efforts in learning on graphs and medical informatics, and how it influences our current work on protein bioinformatics.

QRU Quaderns de Recerca en Urbanisme
Openalex Percentile: Top 48%
Bioinformatics and Genomic Networks
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SORS: machine learning in systems biology: now and next — Karsten Borgwardt · QRU Quaderns de Recerca en Urbanisme (2024) | TGRS Research Map | TGRS