Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms

Overview of attention for article published in BMC Systems Biology, April 2019

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In the top 5% of all research outputs scored by Altmetric
One of the highest-scoring outputs from this source (#3 of 1,144)
High Attention Score compared to outputs of the same age (96th percentile)
High Attention Score compared to outputs of the same age and source (93rd percentile)

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SAN FRANCISCO (GenomeWeb) – Veracyte plans to launch an updated version of its Percepta Bronchial Genomic Classifier lung…

Veracyte, Inc. announced today that a new study published online in BMC Systems Biology showcases the development of the Afirma…

11:30 UTC RNA whole-transcriptome and machine learning platform enables genomic test to distinguish benign Hürthle cells…

Veracyte Announces Publication Highlighting Afirma GSC’s Ability to Rule Out Cancer in Challenging Thyroid Nodule Subtype RNA…

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