Ontology highlight
ABSTRACT:
SUBMITTER: Naik AW
PROVIDER: S-EPMC4798950 | biostudies-literature | 2016 Feb
REPOSITORIES: biostudies-literature
Naik Armaghan W AW Kangas Joshua D JD Sullivan Devin P DP Murphy Robert F RF
eLife 20160203
High throughput screening determines the effects of many conditions on a given biological target. Currently, to estimate the effects of those conditions on other targets requires either strong modeling assumptions (e.g. similarities among targets) or separate screens. Ideally, data-driven experimentation could be used to learn accurate models for many conditions and targets without doing all possible experiments. We have previously described an active machine learning algorithm that can iterativ ...[more]