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20 search results found

Deepvariant ⭐ 2,978

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Dnabert ⭐ 471

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

Super Mario Neat ⭐ 74

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph

Agario Ai ⭐ 39

Neural agents learn to play in an agario-like environment with Neataptic

Neat Python ⭐ 25

Genetic learning algorithm implementation for simulations, games, or general machine learning problems

Visual Machine Learning of Genome-Phenome Associations

Target Seeking Ai ⭐ 17

Neural agents evolved with Neataptic to seek targets

Generate biomass objective function stoichiometric coefficients for genome-scale models from experimental data

Dna Sequence Machine Learning ⭐ 12

Understand DNA structure and how machine learning can be used to work with DNA sequence data.

Fast Bayesian Hidden Markov Model with Wavelet Compression

Plasmidminer ⭐ 10

🔍 in silico plasmid extraction

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

R package to impute methylation within WGBS using machine learning

Pancancer Evaluation ⭐ 9

Evaluating genome-wide prediction of driver mutations using pan-cancer data

Flappy Nn ⭐ 8

NEAT learning to play Flappy Gopher

RNA editing detection based on machine learning

Haskell Multi Expression Programming implemented with the focus on speed

Slitherio Ai ⭐ 6

Using Neural-evolution of Augmenting Topologies and OpenAI gym to train an AI to play SlitherIO

Plasmidhunter ⭐ 5

This tool predicts plasmid sequences from genomic and metagenomic assemblies using machine learning.

Forecasting autism gene discovery with machine learning and genome-scale data

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