Machine Learning Methods for High Throughput Biological Data
Machine learning is becoming a pivotal tool in the analysis of datasets generated from high-throughput biological omics experiments. However, omics data introduces distinctive algorithmic challenges that set it apart from other domains where machine learning is applied. These challenges encompass is...
Main Author: | Murphy, Michael A. |
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Other Authors: | Fraenkel, Ernest |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/154024 https://orcid.org/0000-0002-7343-8383 |
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