Systematic auditing is essential to debiasing machine learning in biology
نویسندگان
چکیده
منابع مشابه
Machine Learning in Systems Biology
This supplement contains extended versions of a selected subset of papers presented at the workshop MLSB 2007, Machine Learning in Systems Biology, Evry, France, from September 24 to 25, 2007.
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The term machine learning refers to a set of topics dealing with the creation and evaluation of algorithms that facilitate pattern recognition, classification, and prediction, based on models derived from existing data. Two facets of mechanization should be acknowledged when considering machine learning in broad terms. Firstly, it is intended that the classification and prediction tasks can be ...
متن کاملMachine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Several distinct, and complementary modelling techniques are being explored. Firstly, work is being conducted on applying Support-Vector ILP (SVILP) as an accurate means of screening high-toxicity molecules. Secondly, B...
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Election audit procedures usually rely on precinctbased recounts, in which workers manually review all paper ballots from selected polling places, but these recounts can be expensive due to the labor required. This paper proposes an alternative audit strategy that allows machines to perform most of the work. Precincts are recounted using recounting machines, and their output is manually audited...
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ژورنال
عنوان ژورنال: Communications Biology
سال: 2021
ISSN: 2399-3642
DOI: 10.1038/s42003-021-01674-5