SigProfilerExtractor
deepvariant
| SigProfilerExtractor | deepvariant | |
|---|---|---|
| 1 | 5 | |
| 146 | 3,080 | |
| 2.7% | 1.0% | |
| 3.5 | 9.1 | |
| 16 days ago | about 2 months ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SigProfilerExtractor
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Any good tutorials/guides for cancer mutation analysis?
Ludmil Alexandrov's tools may be a better modern choice for real data though: https://github.com/AlexandrovLab/SigProfilerExtractor
deepvariant
- Look over my purchase, is there anything I should return?
- Welche Berufe haben ein riesiges Angebot an Arbeitskräften (zb. Marketing) und welche Berufe haben wirklich echten Fachkräftemangel und brauchen dringend mehr öffentliche Plattform?
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Give me your suggestions for papers with a Convolutional Neural Network in Bioinformatics
See https://www.nature.com/articles/nbt.4235 for the paper and https://github.com/google/deepvariant for the code.
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[D] Is deep learning having an impact in life sciences yet?
Deepvariant is a another example.
What are some alternatives?
sv-callers - Snakemake-based workflow for detecting structural variants in genomic data
galaxy - Data intensive science for everyone.
scispacy - A full spaCy pipeline and models for scientific/biomedical documents.
masurca
Biopython - Official git repository for Biopython (originally converted from CVS)
scanpy - Single-cell analysis in Python. Scales to >1M cells.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
slivar - genetic variant expressions, annotation, and filtering for great good.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.