auranic / ClinTrajan

Related projects: ⓘ

• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆18Updated last year
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆56Updated 3 years ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated last year
• rvinas / GTEx-imputation
  Gene Expression Imputation with Generative Adversarial Imputation Nets
  ☆11Updated last year
• msesia / knockoff-filter
  A versatile interface to the knockoff methodology.
  ☆23Updated 2 years ago
• idc9 / py_jive
  A data analysis package for high-dimensional, multi-block data.
  ☆11Updated 2 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 2 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 2 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆27Updated 2 years ago
• blengerich / drpca
  Differential Robust PCA
  ☆12Updated 2 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• Genentech / dcdfg
  ☆21Updated last year
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 3 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆10Updated 3 years ago
• fabian-sp / GGLasso
  A Python package for General Graphical Lasso computation
  ☆30Updated 8 months ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆36Updated last year
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆144Updated last year
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 3 years ago
• sharpenb / Hierarchical-Paris-Clustering
  Hierarchical Graph Clustering using Node Pair Sampling (MLG, KDD Workshop) - Multi-scale Clustering in Graphs using Modularity (DiVA)
  ☆14Updated 3 years ago
• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆16Updated 4 years ago
• WGLab / GDP
  Group lasso based Deep Neural Network for Cancer Prognosis
  ☆15Updated 4 years ago
• spiros / tofu
  Tofu is a Python tool for generating synthetic UK Biobank data.
  ☆53Updated last year
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆47Updated 2 years ago
• zhangxiaoyu11 / OmiVAE
  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.
  ☆30Updated 3 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated last year
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆36Updated last year
• quadbio / latent-lego
  Latent spaces for single cells
  ☆22Updated 10 months ago
• lrgr / multifactorial-immune-response
  Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features
  ☆14Updated 6 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated last year
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆15Updated 2 years ago