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Käll lab / Statistical Biotechnology, KTH |
We are methods developers within modern Biotechnology |
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Modern biology increasingly relies on high-throughput techniques, such as proteomics, metabolomics, and transcriptomics, which generate vast amounts of data. A common challenge with these techniques is interpreting the outcomes, as individual measurements vary in quality. Our mission is to enhance the yield and facilitate the interpretation of high-throughput experiments by employing various machine learning methods, including Hierachical Bayesian Networks and Transformers.