ELSM is a novel multi-modal cfDNA fragmentomics fusion framework that effectively enhances the accuracy of early cancer screening and tissue-of-origin prediction through sample-level modality evalu…

Fast and Accurate ML in 3 Lines of Code

⚡ TabPFN: Foundation Model for Tabular Data ⚡

[ICML 2025] MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

[AAAI2025 Oral] Predicting the Original Appearance of Damaged Historical Documents

Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Repository for Mixture of Multimodal Experts

[ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang (Atlas) Wang, S…

Fusing Histology and Genomics via Deep Learning - IEEE TMI

[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

GFusionMed is an R package for Bayesian graphical data fusion and mediation analysis in pharmaco-omics. It enables multi-omics structure learning, outcome modeling, and mediation analysis to uncove…

A repository for exploring and developing methods in tensor response regression.

Permutation Test of P-NET which is Biologically Informed Neural Network.

T/B cell receptor sequencing analysis notes

Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

Differential expression of RNA-seq data using the Negative Binomial

Deblur is a greedy deconvolution algorithm based on known read error profiles.

데이터 사이언스를 공부하고 싶은 분들을 위한 글

TCR-HLA binding predictor

PAthway Representation and Analysis by Direct Inference on Graphical Models

Two-stage Bayesian linear mixed model

☄️ Ultrafast DNA methylation heterogeneity calculation from bisulfite alignments (Lee et al., PLOS Computational Biology. 2023)