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Remove fit_power_curve.R: PerturbPlan's closed form is the analytical estimate
tests
#21:
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#5
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emattei
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Merge pull request #4 from EngreitzLab/fix/promote-simulated-counts
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#20:
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Promote a simulated count too big for int16 instead of refusing it
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#19:
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Promote a simulated count too big for int16 instead of refusing it
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#18:
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Merge pull request #3 from EngreitzLab/fix/ci-sceptre-io
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CI: put pysceptre's scripts/ on PYTHONPATH for the Nextflow DAG step
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CI: put pysceptre's scripts/ on PYTHONPATH for the Nextflow DAG step
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CI: put pysceptre's scripts/ on PYTHONPATH for the Nextflow DAG step
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#14:
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Merge pull request #2 from EngreitzLab/feat/pysceptre-backend
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Merge pull request #2 from EngreitzLab/feat/pysceptre-backend
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Switch main to the Python (pysceptre) pipeline
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Merge main (the legacy R pipeline) into the Python pipeline, keeping …
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#11:
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Record Stage 0: Python vs R now equals Python vs Python at another seed
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Rewrap one line of the plan's status
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Fit null models on the input passed in, not one already in the worker…
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#8:
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Add --permutations per-target: one permutation set per target, drawn …
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#7:
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Record Stage B at full scale: Python and R agree on moi5 cis
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#6:
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List COMPUTE_POWER's inputs with nullglob, not ls
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#5:
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Build the paired-gene set once, not once per gene
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#4:
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Give guides a spread that vanishes at no effect: Beta, sd = c * es * …
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Give guides a spread that vanishes at no effect: Beta, sd = c * es * …
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Keep the pin exact on huge targets; bring the R reference fully in line
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#2:
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Keep the pin exact on huge targets, and let --alpha reach its one use
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Finish the sweep: the R help strings and the pysceptre pin
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#1:
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Say measured power, not certification
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