Age | Commit message (Collapse) | Author |
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The function is a generator function, since it uses a `yield` statement, and
thus returns a generator object, that contains a tuple object. This fixes
that. We also remove a duplicate import.
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* Use the correct case for the keys inorder to retrieve the correct values.
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* The string had the f-string syntax to format the values to be inserted into
the string, but was missing the 'f' before the opening quotes to signify to
python that this was an f-string. This commit fixes that.
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* Remove all key-value pairs whose value is None.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Replace unoptimised function with one optimised to give better performance.
The optimisation done here is to fetch multiple items/traits from the
database per query, rather than the original form, which fetched a single
item/trait from the database per query.
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Issue: https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
Comment:
https://github.com/genenetwork/genenetwork3/pull/67#issuecomment-1000828159
* Convert NaN values to None to avoid possible bugs with the string replace
method used before.
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Issue:
* Function
`gn3.computations.partial_correlations_optimised.partial_correlations_entry`
is a copy of the
`gn3.computations.partial_correlation.partial_correlations_entry`
function that is optimised for better performance.
The optimised function is intended to replace the unoptimised one, but it is
included in this commit for comparison purposes, and to maintain some
historical context for doing it this way.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* In an attempt to optimise the performance of the partial correlations
feature, this commit reworks some database access functions to fetch
multiple items from the database, per query, unlike their original forms
which would fetch a single item per query.
This reduces queries to the database, and should hopefully improve the
responsiveness of the partial correlations feature.
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Adds type hint for normalize_values function
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Update the sorting algorithm, for literature and tissue correlations so that
it sorts the results by the correlation value first then by the p-value
next.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Return the correlation method used
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* There is a lot of data that is not necessary in the final result. This
commit removes that data, retaining only data relevant for the display.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* The dataset type is relevant for the display of the data, therefore, this
commit presents the dataset type as part of the results.
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Issue: https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
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* Ignore some missing library stubs
* Ignore some typing errors
* Fix obvious typing errors
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* pingouin raises an exception whenever one attempts to use it to compute the
partial correlation with data that has less than 3 samples.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Use the target dataset to load the target traits, not the primary trait's
dataset, since they might differ.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Import the missing function.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Fix the code, so that it removes all control values, whose corresponding
target values are None, without throwing an error.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* In addition to the partial correlation results, this commit enables the
return of the chosen primary trait and the selected control traits. This
data is required for presentation on the results page.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Run the partial correlations against the database that the user selects, and
not the one from which the primary trait is. This was a bug in the code.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* If the dataset name is not found, don't cause an exception, instead, return
the provided search name.
* Use the correct inner object
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* From the collections page, the group is not present, so this commit
retrieves the group value from the primary trait.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Provide the entry-point function to the partial correlation feature. This is
the function that ochestrates the fetching of the data, and processing it
for output by the API endpoint (to be implemented).
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* Fix linting errors like:
- Unused variables
- Undeclared variable errors (mostly caused by typos, and wrong names)
- Missing documentation strings for functions
etc.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Migrate the
`web.webqtl.correlation.PartialCorrDBPage.getPartialCorrelationsNormal`
function in GN1.
* Remove function obsoleted by newer implementation of the code
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Notes:
https://github.com/genenetwork/genenetwork3/pull/56#issuecomment-973798918
* As mentioned in the notes, rather than rounding to an arbitrary number of
decimal places, it is a much better practice to use approximate comparisons
of floats for the tests.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Fix some obvious linting errors and remove obsolete code
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* Replace the code that was in the process of being migrated from R in
GeneNetwork1 with calls to pingouin functions that achieve the same thing.
Since the functions in this case are computing correlations and partial
correlations, rather than having home-rolled functions to do that, this
commit makes use of the tried and tested pingouin functions.
This avoids complicating our code with edge-case checks, and leverages the
performance optimisations done in pingouin.
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* gn3/computations/partial_correlations.py: Remove rounding. Fix computation
of remaining covariates
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tests/unit/computations/partial_correlations_test_data/pcor_rec_blackbox_test.txt:
reduce the number of covariates to between one (1) and three (3)
* tests/unit/computations/test_partial_correlations.py: fix some minor bugs
It turns out that the computation complexity increases exponentially, with
the number of covariates. Therefore, to get a somewhat sensible test time,
while retaining a large-ish number of tests, this commit reduces the number
of covariates to between 1 and 3.
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Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* When the z value is a Sequence of sequences of values, each of the internal
sequences should form a column of its own, and not a row, as it was
originally set up to do.
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partial-correlations
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correlations2.compute_correlation computes the Pearson correlation
coefficient. Outsource this computation to scipy.stats.pearsonr. When the
inputs are constant, the Pearson correlation coefficient does not exist and is
represented by NaN. Update the tests to reflect this.
* gn3/computations/correlations2.py: Remove import of sqrt from math.
(compute_correlation): Reimplement using scipy.stats.pearsonr.
* tests/unit/computations/test_correlation.py: Import math.
(TestCorrelation.test_compute_correlation): When inputs are constant, set
expected correlation coefficient to NaN.
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* gn3/computations/correlations2.py: Remove import of reduce from functools.
(__items_with_values): Reimplement using list comprehension.
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