egraph

Crates.ioegraph
lib.rsegraph
version0.1.0
created_at2025-12-14 09:16:13.093269+00
updated_at2025-12-14 09:16:13.093269+00
descriptionegraph for variant machine learning
homepagehttps://github.com/rustcodepro/egraph
repositoryhttps://github.com/rustcodepro/egraph
max_upload_size
id1984045
size61,788
Gaurav Sablok (rustcodepro)

documentation

README

egraph

  • Machine learning crate to how to use the population variant data from the eVai predictions or the other variants for the machine learning and predicts and confirm where the variant data is not annotated with respect to the previous population.
  • See the test files as how to prepare the data for the variant classification.
  • a complete classification on the variants coming from the population so that you can confirm any unanotated variant or even check.
  • This allows for the classification of the variants where a population has been studied and you want to implicit a classification model. rewaq 1 2
cargo build
____   ____       _      ____    _   _ 
___   / ___| |  _ \     / \    |  _ \  | | | |
/ _ \ | |  _  | |_) |   / _ \   | |_) | | |_| |
|  __/ | |_| | |  _ <   / ___ \  |  __/  |  _  |
\___|  \____| |_| \_\ /_/   \_\ |_|     |_| |_|
                                       

classification for variant annotation.
************************************************
Gaurav Sablok,
Email: codeprog@icloud.com
************************************************

Usage: egraph <COMMAND>

Commands:
classifier          Classify a single population
variant-classifier  filter and classify the variants on the specific variant types for a single population
population          Classify on an entire population
population-variant  Classify an entire population over a specific variant
help                Print this message or the help of the given subcommand(s)

Options:
-h, --help     Print help
-V, --version  Print version


Gaurav Sablok
codeprog@icloud.com

Commit count: 0

cargo fmt