xinformatics

alphafold

Open source code for AlphaFold to extract protein embeddings

deepinsight_py

Python implementation of the DeepInsight algorithm

DeepLncLoc

A deep learning-based lncRNA subcellular localization predictor

SurvCNN

SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data

TransDTI

TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow

academicpages-mkdocs

Foss'23 spring learning

awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

cogs510

coxnnet_py3

coxnnet v1 and v2 models updated to work with Python3.

deep_crispcut

Interpreting Off-target / Target sequences for crispr cas9 experiments

DeepLearningLifeSciences

Following the code from the book "Deep Learning for the Life Sciences" and implementing it in Google Colab

DNABERT

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

dNNDR

DSF-compendium-SY

Template research compendium for the Data Science Institute Data Science Fellows

DSTG

Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence

foss23reptut

GraphLncLoc

HOGNNU-Python

Hands-On Graph Neural Networks Using Python

iterative_recon_bme516

learning_codespaces

NeuroSEED

Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)

optimal-ph

ProteinMPNN

Code for the ProteinMPNN paper

retain-keras

Reimplementation of RETAIN Recurrent Neural Network in Keras

survival_cams

Class activation maps for high risk and low risk patients in lung adenocarcinoma

tcr-pmhc

tcresm_streamlit

WindowSHAP

windowSHAP vs Multihead-attention

xinformatics

xinformatics.github.io