docs

Applications

============

To use DeepChem models on downstream applications tasks, it's often necessary

to have additional infrastructure to apply DeepChem effectively to scientific

problems of interest. The :code:`dc.applications` module contains an assortment

of non-machine-learning code that facilitates the use of DeepChem for

applications.

Genomics

--------

DeepChem currently has utilities to generate synthetic datasets for genomics

applications.

DNA Simulation

^^^^^^^^^^^^^^

DeepChem uses the :code:`simdna` package to simulate some synthetic DNA

distributions of interest.

.. autofunction:: deepchem.applications.genomics.dnasim.simple_motif_embedding

.. autofunction:: deepchem.applications.genomics.dnasim.motif_density

.. autofunction:: deepchem.applications.genomics.dnasim.simulate_single_motif_detection

.. autofunction:: deepchem.applications.genomics.dnasim.simulate_motif_counting

.. autofunction:: deepchem.applications.genomics.dnasim.simulate_motif_density_localization

.. autofunction:: deepchem.applications.genomics.dnasim.simulate_multi_motif_embedding

.. autofunction:: deepchem.applications.genomics.dnasim.simulate_differential_accessibility

.. autofunction:: deepchem.applications.genomics.dnasim.simulate_heterodimer_grammar