<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>46</viewCount><searchCount>0</searchCount></scores><additional><submitter>Brueggeman L</submitter><funding>NIGMS NIH HHS</funding><pagination>20994</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7691369</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(1)</volume><pubmed_abstract>An amendment to this paper has been published and can be accessed via a link at the top of the paper.</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Author Correction: Forecasting risk gene discovery in autism with machine learning and genome-scale data.</pubmed_title><pmcid>PMC7691369</pmcid><funding_grant_id>T32 GM007337</funding_grant_id><pubmed_authors>Koomar T</pubmed_authors><pubmed_authors>Brueggeman L</pubmed_authors><pubmed_authors>Michaelson JJ</pubmed_authors><view_count>46</view_count></additional><is_claimable>false</is_claimable><name>Author Correction: Forecasting risk gene discovery in autism with machine learning and genome-scale data.</name><description>An amendment to this paper has been published and can be accessed via a link at the top of the paper.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Nov</publication><modification>2024-02-15T18:55:28.279Z</modification><creation>2021-02-20T02:12:49Z</creation></dates><accession>S-EPMC7691369</accession><cross_references><pubmed>33244169</pubmed><doi>10.1038/s41598-020-77832-2</doi></cross_references></HashMap>