Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology

Overview of attention for article published in OMICS: A Journal of Integrative Biology, December 2013

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#49 of 782)
High Attention Score compared to outputs of the same age (95th percentile)
High Attention Score compared to outputs of the same age and source (83rd percentile)

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news: 1 news outlet
blogs: 1 blog

twitter: 7 X users
patent: 5 patents

Readers on

mendeley: 449 Mendeley

So far, Altmetric has seen 12 X posts from 7 X users, with an upper bound of 7,410 followers.

Some researchers of several UK universities and the King Abdulaziz University describe in the following paper how Machine Learning can be applied to Mass Spectrometry to classify and identify large amounts of proteomics data: https://t.co/UACh852K8c.

RT @jaumebp: Application of Machine Learning to Proteomics Data: Classification, Biomarker Identification in Postgenomics Biology https://t…

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