A metric for evaluating biological information in gene sets and its application to identify co-expre...
A metric for evaluating biological information in gene sets and its application to identify co-expressed gene clusters in PBMC
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Publisher
United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
Recent technological advances have made the gathering of comprehensive gene expression datasets a commodity. This has shifted the limiting step of transcriptomic studies from the accumulation of data to their analyses and interpretation. The main problem in analyzing transcriptomics data is that the number of independent samples is typically much l...
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Full title
A metric for evaluating biological information in gene sets and its application to identify co-expressed gene clusters in PBMC
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TN_cdi_plos_journals_2598108255
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2598108255
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1009459
