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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_35c0eae40381d1da7d9701f0c85bffee
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filingDate 2021-09-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e145161ce75bdf6ed4ca0f9805e7b2ef
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cc963e5242f05832b913d3e7bf02e03c
publicationDate 2022-03-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2022076784-A1
titleOfInvention Systems and methods for identifying feature linkages in multi-genomic feature data from single-cell partitions
abstract Methods and systems for generating linkage correlations and linkage significances between a first genomic feature and a second genomic feature identified for each of a plurality of cells may be provided. For example, the method may comprise receiving a data matrix comprising a first genomic feature and a second genomic feature identified for each of a plurality of cells; smoothing the data matrix to generate a smoothed matrix; generating linkage correlations between the first genomic feature and second genomic feature identified for each of the plurality of cells in the data matrix; generating linkage significances using multiplication of a plurality of linkage matrixes; and outputting the linkage correlations and linkage significances for each of the plurality of cells in the data matrix.
priorityDate 2020-09-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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