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Function prediction using a deep ontology-aware classifier

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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 0.12.1 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.1.0 to 3.15.0. Release notes Sourced from protobuf's releases. Protocol Buffers v3.15.0 Protocol Compiler Optional fields for proto3 are enabled by default, and no longer require the...

dependencies

Which is the python version that deepgo is most suitable for ? As one of the package l tensorflow==0.12.1 wasnot supported by my python 3.7.0 and when I switched to...

Bumps [pyyaml](https://github.com/yaml/pyyaml) from 3.12 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...

dependencies

https://github.com/bio-ontology-research-group/deepgo/blob/36c3a611238c236d7e41dfd9b33d2d93ba4b5e2e/predict_all.py#L112 I think this line should be:` p.stdin.write(bytes('>' + str(i) + '\n' + sequences[i] + '\n', encoding='utf-8'))` Found this when executing dependent code and ran into type error: ``` File...

Hello, Thank you for your work. Is your data in the form of owl/rdf originally from the ontology?

The paper cites the protein vectors in Alshahrani,M. et al. (2017). Did you use exactly the same vectors by Alshahrani,M. et al. (2017)? In this paper Alshahrani,M. et al. (2017),...

I have a [Pytorch implementation](https://github.com/datduong/EncodeGeneOntology/blob/master/ProtSeq2GO/ProtSeq2GOModel.py#L440 ) for DeepGO Flat with Protein network which has been tested and produces consistent results with original Keras implementation. If you're interested, we can merge.

https://pythonclock.org/ print function xrange to range many things now return iterators/generators vs. list objects. etc., etc. 2to3 script can help