Age | Commit message (Collapse) | Author |
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the first item to convert to numbers
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cofactors. For some reason the rows/columns are inverted when converted to a python object when doing scanone with cofactors vs without cofactors
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same file is being written to simultaneously (or being written to while it's being read)
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the results are not converted into a Python object in a way that preserves marker names (which is important because pseudomarkers can be added)
Instead the marker names are extracted from the scanone results using R immediately after they're generated, and then passed to process_rqtl_results
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previously it could throw an error
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collection the use set as their default collection
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input string
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instead of just checking if there are case attributes
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instead check categorical_attr_exists
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apparently the boolean doesn't get passed to the template properly
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case attributes with fewer than 10 distinct values, since it currently throws a JS error if case attributes exist but none have fewer than 10 distinct values (specifically when we have RRID as a case attribute)
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with calculating PCA that I don't know the cause of yet
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many shared samples torun scipy.stats.pearsonr/spearmanr
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error caused by an empty string be stored in a collection's trait list
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number is needed for the links
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Redis as both string and bytes
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drawing the Gene Band
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rat IDs don't have any prefix with a colon
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situations where a case attribute also has a link
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in the trait page sample table
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being returned as bytes instead of a str
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values are sometimes stored as bytes and sometimes as strings
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groups in Redis are stored as strings
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be changed for Python 3.8
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newline character
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resulting from a trait missing both pre_publication_description and pubmed ID
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being displayed correctly
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Redis.smembers apparently returns values as bytes
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