{"data":{"id":"10.6084/m9.figshare.942420","type":"dois","attributes":{"doi":"10.6084/m9.figshare.942420","prefix":"10.6084","suffix":"m9.figshare.942420","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Shin, William","nameType":"Personal","givenName":"William","familyName":"Shin","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Mouse Whole Brain Interactome (Human Entrez)"}],"publisher":"figshare","container":{},"publicationYear":2015,"subjects":[{"subject":"60102 Bioinformatics","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2014-02-24","dateType":"Created"},{"date":"2015-04-30","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["6158952 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Interactome was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P\u0026lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset.ractome was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P\u0026lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset.was reverse engineered with ARACNe from a mouse whole brain expression dataset (437 samples, GSE10415). ARACNe was run with 100 bootstrap iterations using all probes that mapped to a set of 1,507 mouse transcriptional regulators (defined as genes annotated in the Gene Ontology Molecular Function database as GO:0003700 - ‘transcription factor activity’) for the human dataset. Parameters were set to 0 DPI tolerance and a MI P value threshold (P\u0026lt;10-7), as recommended for bootstrap ARACNe analysis of a dataset with this size, to achieve a Bonferroni corrected significance (P = 0.05) for getting a single false-positive in the dataset. Converted into homologous Human Entrez ids.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/Mouse_Whole_Brain_Interactome_Human_Entrez_/942420","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2015-04-30T19:14:13.000Z","registered":"2015-04-30T19:14:14.000Z","published":"2015","updated":"2020-09-05T00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