{"data":{"id":"10.6084/m9.figshare.1476293","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1476293","prefix":"10.6084","suffix":"m9.figshare.1476293","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Brueggeman, Leo","nameType":"Personal","givenName":"Leo","familyName":"Brueggeman","affiliation":[],"nameIdentifiers":[]},{"name":"Himmelstein, Daniel","nameType":"Personal","givenName":"Daniel","familyName":"Himmelstein","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-3012-7446","nameIdentifierScheme":"ORCID"}]},{"name":"Baranzini, Sergio","nameType":"Personal","givenName":"Sergio","familyName":"Baranzini","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Consensus expression signatures for L1000 compounds"}],"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":"2015-07-08","dateType":"Created"},{"date":"2015-12-03","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["31272264 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":"In this fileset we provide our processed forms of the LINCS L1000 data. Starting with signature-level expression data from the L1000 project, we employ our pipeline (link below) to condense this information to consensus drug-level expression signatures. For a detailed overview of our approach, see the appended thinklab discussion link. In brief, our approach has 3 steps. (1) Pool set of LINCS gold signatures corresponding to drug of interest. (2) Compute weights for each signature, based on their mean Spearman correlation values with all other signatures. (3) Combine Z-scores across all signatures using Stouffer's method to create a consensus signature. These drug-level consensus signatures are provided in two drug vocabularies: LINCS perturbagens and DrugBank compounds. Rows are drugs, and columns are genes (Entrez Gene IDs). The values in both files are Z-scores, as per the LINCS L1000 standard.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/L1000_Drug_level_Consensus_Expression_Profiles/1476293","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":"2015-07-08T02:03:36.000Z","registered":"2015-07-08T02:03:38.000Z","published":"2015","updated":"2020-09-04T16:39:05.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.1476293","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}