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Outputs (4)

Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion (2021)
Journal Article
Rengasamy, D., Rothwell, B. C., & Figueredo, G. P. (2021). Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion. Applied Sciences, 11(24), Article 11854. https://doi.org/10.3390/app112411854

When machine learning supports decision-making in safety-critical systems, it is important to verify and understand the reasons why a particular output is produced. Although feature importance calculation approaches assist in interpretation, there is... Read More about Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion.

minoTour, real-time monitoring and analysis for nanopore sequencers (2021)
Journal Article
Munro, R., Santos, R., Payne, A., Forey, T., Osei, S., Holmes, N., & Loose, M. (2022). minoTour, real-time monitoring and analysis for nanopore sequencers. Bioinformatics, 38(4), 1133-1135. https://doi.org/10.1093/bioinformatics/btab780

Summary: MinoTour offers a LIMS system for Oxford Nanopore Technology sequencers, with real-time metrics and analysis available permanently for review. Integration of unique real-time automated analysis can reduce the time required to answer biologic... Read More about minoTour, real-time monitoring and analysis for nanopore sequencers.

Kernel Methods for Predicting Yields of Chemical Reactions (2021)
Journal Article
Haywood, A. L., Redshaw, J., Hanson-Heine, M. W., Taylor, A., Brown, A., Mason, A. M., …Hirst, J. D. (2022). Kernel Methods for Predicting Yields of Chemical Reactions. Journal of Chemical Information and Modeling, 62(9), 2077-2092. https://doi.org/10.1021/acs.jcim.1c00699

The use of machine learning methods for the prediction of reaction yield is an emerging area. We demonstrate the applicability of support vector regression (SVR) for predicting reaction yields, using combinatorial data. Molecular descriptors used in... Read More about Kernel Methods for Predicting Yields of Chemical Reactions.

LINE-1 transcription in round spermatids is associated with accretion of 5-carboxylcytosine in their open reading frames (2021)
Journal Article
Blythe, M. J., Kocer, A., Rubio-Roldan, A., Giles, T., Abakir, A., Ialy-Radio, C., …Ruzov, A. (2021). LINE-1 transcription in round spermatids is associated with accretion of 5-carboxylcytosine in their open reading frames. Communications Biology, 4, Article 691. https://doi.org/10.1038/s42003-021-02217-8

Chromatin of male and female gametes undergoes a number of reprogramming events during the transition from germ cell to embryonic developmental programs. Although the rearrangement of DNA methylation patterns occurring in the zygote has been extensiv... Read More about LINE-1 transcription in round spermatids is associated with accretion of 5-carboxylcytosine in their open reading frames.