gosling.VectorData¶
- class gosling.VectorData(type=Undefined, url=Undefined, aggregation=Undefined, binSize=Undefined, column=Undefined, end=Undefined, start=Undefined, value=Undefined, **kwds)¶
VectorData schema wrapper
Mapping(required=[type, url]) One-dimensional quantitative values along genomic position (e.g., bigwig) can be converted into HiGlass’ “vector” format data. Find out more about this format at [HiGlass Docs](https://docs.higlass.io/data_preparation.html#bigwig-files).
- Attributes:
- typestring
- urlstring
Specify the URL address of the data file.
- aggregation
BinAggregate
Determine aggregation function to apply within bins. __Default__: “mean”
- binSizefloat
Binning the genomic interval in tiles (unit size: 256).
- columnstring
Assign a field name of the middle position of genomic intervals. __Default__: “position”
- endstring
Assign a field name of the end position of genomic intervals. __Default__: “end”
- startstring
Assign a field name of the start position of genomic intervals. __Default__: “start”
- valuestring
Assign a field name of quantitative values. __Default__: “value”
- __init__(type=Undefined, url=Undefined, aggregation=Undefined, binSize=Undefined, column=Undefined, end=Undefined, start=Undefined, value=Undefined, **kwds)¶
Methods
__init__
([type, url, aggregation, binSize, ...])copy
([deep, ignore])Return a copy of the object
from_dict
(dct[, validate, _wrapper_classes])Construct class from a dictionary representation
from_json
(json_string[, validate])Instantiate the object from a valid JSON string
resolve_references
([schema])Resolve references in the context of this object's schema or root schema.
to_dict
([validate, ignore, context])Return a dictionary representation of the object
to_json
([validate, ignore, context, indent, ...])Emit the JSON representation for this object as a string.
validate
(instance[, schema])Validate the instance against the class schema in the context of the rootschema.
validate_property
(name, value[, schema])Validate a property against property schema in the context of the rootschema