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filter-features-conditionally: Filter features from a table based on abundance and prevalence¶
Docstring:
Usage: qiime feature-table filter-features-conditionally [OPTIONS] Filter features based on the relative abundance in a certain portion of samples (i.e., features must have a relative abundance of at least `abundance` in at least `prevalence` number of samples). Any samples with a frequency of zero after feature filtering will also be removed. Inputs: --i-table ARTIFACT FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Composition⁴] The feature table from which features should be filtered. [required] Parameters: --p-abundance PROPORTION Range(0, 1) The minimum relative abundance for a feature to be retained. [required] --p-prevalence PROPORTION Range(0, 1) The minimum portion of samples that a feature must have a relative abundance of at least `abundance` to be retained. [required] --p-allow-empty-table / --p-no-allow-empty-table If true, the filtered table may be empty. Default behavior is to raise an error if the filtered table is empty. [default: False] Outputs: --o-filtered-table ARTIFACT FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Composition⁴] The resulting feature table filtered by feature. [required] Miscellaneous: --output-dir PATH Output unspecified results to a directory --verbose / --quiet Display verbose output to stdout and/or stderr during execution of this action. Or silence output if execution is successful (silence is golden). --example-data PATH Write example data and exit. --citations Show citations and exit. --use-cache DIRECTORY Specify the cache to be used for the intermediate work of this action. If not provided, the default cache under $TMP/qiime2/will be used. IMPORTANT FOR HPC USERS: If you are on an HPC system and are using parallel execution it is important to set this to a location that is globally accessible to all nodes in the cluster. --help Show this message and exit. Examples: # ### example: feature table filter features conditionally # Retain only features with at least 1%% abundance in at least 34%% of # samples. qiime feature-table filter-features-conditionally \ --i-table feature-table.qza \ --p-abundance 0.01 \ --p-prevalence 0.34 \ --o-filtered-table filtered-table.qza
Import:
from qiime2.plugins.feature_table.methods import filter_features_conditionally
Docstring:
Filter features from a table based on abundance and prevalence Filter features based on the relative abundance in a certain portion of samples (i.e., features must have a relative abundance of at least `abundance` in at least `prevalence` number of samples). Any samples with a frequency of zero after feature filtering will also be removed. Parameters ---------- table : FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Composition⁴] The feature table from which features should be filtered. abundance : Float % Range(0, 1) The minimum relative abundance for a feature to be retained. prevalence : Float % Range(0, 1) The minimum portion of samples that a feature must have a relative abundance of at least `abundance` to be retained. allow_empty_table : Bool, optional If true, the filtered table may be empty. Default behavior is to raise an error if the filtered table is empty. Returns ------- filtered_table : FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Composition⁴] The resulting feature table filtered by feature.