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# The API specifies which type of component this is.
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# It contains specifications for:
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# - The input/output files
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# - Common parameters
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# - A unit test
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__merge__: ../../api/comp_metric.yaml
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# A unique identifier for your component (required).
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# Can contain only lowercase letters or underscores.
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name: spearman_corr
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# Metadata for your component
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info:
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metrics:
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# A unique identifier for your metric (required).
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# Can contain only lowercase letters or underscores.
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- name: spearman_corr
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# A relatively short label, used when rendering visualisarions (required)
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label: Spearman's Corr
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# A one sentence summary of how this metric works (required). Used when
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# rendering summary tables.
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summary: "Computes the Spearman rank correlation coefficient between inferred and ground-truth pseudotime."
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# A multi-line description of how this component works (required). Used
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# when rendering reference documentation.
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description: |
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Calculates the Spearman rank correlation coefficient (rho) between predicted cell pseudotime
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values and the true ground-truth pseudotime. Measures monotonic relationships regardless of linearity.
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references:
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doi:
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doi:
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- 10.1038/s41592-020-0772-5
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bibtex: |
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@article{Virtanen_2020,
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author = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and {van der Walt}, St{\'e}fan J. and Brett, Matthew and Wilson, Joshua and Jarrod Millman, K. and Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and Kern, Robert and Larson, Eric and Carey, C. J. and Polat, {\dot{I}}lhan and Feng, Yu and Moore, Eric W. and VanderPlas, Jake and Laxalde, Denis and Perktold, Josef and Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and Harris, Charles R. and Archibald, Anne M. and Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and {van Mulbregt}, Paul and {SciPy 1.0 Contributors}},
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title = {Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python},
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journal = {Nature Methods},
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volume = {17},
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number = {3},
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pages = {352},
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year = {2020},
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doi = {10.1038/s41592-020-0772-5}
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}
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@article{Virtanen_2020,
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author = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and {van der Walt}, St{\'e}fan J. and Brett, Matthew and Wilson, Joshua and Jarrod Millman, K. and Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and Kern, Robert and Larson, Eric and Carey, C. J. and Polat, {\dot{I}}lhan and Feng, Yu and Moore, Eric W. and VanderPlas, Jake and Laxalde, Denis and Perktold, Josef and Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and Harris, Charles R. and Archibald, Anne M. and Ribeiro, Ant{\^o}nio H. and Pedregosa, Fabian and {van Mulbregt}, Paul and {SciPy 1.0 Contributors}},
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title = {Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python},
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journal = {Nature Methods},
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volume = {17},
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number = {3},
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pages = {352},
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year = {2020},
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doi = {10.1038/s41592-020-0772-5}
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}
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links:
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# URL to the documentation for this metric (required).
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