Popular GitHub Repositories for Gene Essentiality

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

RT-GENE: Real-Time Eye Gaze and Blink Estimation in Natural Environments

Training and evaluating a variational autoencoder for pan-cancer gene expression data

A Python library for Gene–environment interaction analysis via deep learning

[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

A repository with exploration into using transformers to predict DNA ? transcription factor binding

Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer

Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.

Deep learning methods for feature selection in gene expression autism data.

AGM阿格姆：AI基因图谱模型，从token-weight权重微粒角度，探索AI模型，GPT\LLM大模型的内在运作机制。

(differentiable) gradient-based optimization on a chemical graph for de novo molecule design/optimization (ICLR 2022)

? UI for gpt-all-star: https://github.com/kyaukyuai/gpt-all-star

Adversarial generation of gene expression data using Generative Adversarial Networks

GenoTEX: An expert-curated benchmark for LLM agentic methods in automated gene expression data analysis.

Recurrent Variational Auto gene encoder

Deep exponential families for single-cell data.

Unsupervised neural network for learning embeddings of GO terms.

A Heterogeneous Graph Transformer (HGT)-based model for protein function prediction using biological knowledge graphs and protein language models

INTEND (IntegratioN of Transcriptomic and EpigeNomic Data), a novel algorithm for integrating gene expression and DNA methylation datasets covering disjoint sets of samples