API Reference

The package is split up into modules.

• Ampute
  • Amputer
  • Remove Modalities
• Classify
  • Missing Modalities in Multimodal healthcare data (M3Care)
  • MUtual-conSistEnt graph contrastive learning (MUSE)
  • Retrieval-AuGmented dynamic Prompt Tuning (RAGPT)
• Cluster
  • Doubly Aligned Incomplete Multi-view Clustering (DAIMC)
  • Efficient and Effective Incomplete Multi-view Clustering (EE-IMVC)
  • Incomplete Multiview Spectral Clustering With Adaptive Graph Learning (IMSCAGL)
  • Self-representation Subspace Clustering for Incomplete Multi-view Data (IMSR)
  • Integrate Any Omics (IntegrAO)
  • Late Fusion Incomplete Multi-View Clustering (LF-IMVC)
  • Multiple Kernel K-Means with Incomplete Kernels (MKKM-IK)
  • Multi Omic Clustering by Non-Exhaustive Types (MONET)
  • Multi-Reconstruction Graph Convolutional Network (MRGCN)
  • NEighborhood based Multi-Omics clustering (NEMO)
  • Online Multi-View Clustering (OMVC)
  • One-Pass Incomplete Multi-View Clustering (OPIMC)
  • One-Stage Incomplete Multi-View Clustering via Late Fusion (OS-LF-IMVC)
  • Projective Incomplete Multi-View Clustering (PIMVC)
  • Scalable Incomplete Multiview Clustering with Adaptive Data Completion (SIMC-ADC)
  • Subtyping Tool for Multi-Omic Data (SUMO)
• Decomposition
  • Data Fusion by Matrix Factorization (DFMF)
  • Joint Non-Negative Matrix Factorization (JNMF)
  • Multi-Omics Factor Analysis (MOFA)
• Explore
  • Get summary
  • Get number of modalities
  • Get number of samples by modalities
  • Get complete samples
  • Get incomplete samples
  • Get samples
  • Get samples by modality
  • Get missing samples by modality
  • Get number of complete samples
  • Get number of incomplete samples
  • Get percentage of complete samples
  • Get percentage of incomplete samples
• Feature selection
  • JNMF Feature Selector
• Impute
  • DFMF Imputer
  • MOFA Imputer
  • JNMF Imputer
  • Missing Modality Indicator
  • Observed Modality Indicator
• Load
  • M3Care Dataset Loader
  • MRGCN Dataset Loader
  • MUSE Dataset Loader
  • RAGPT Dataset Loader
• Model selection
  • Multi-Modal Splitter
  • Train-Test Multi-Modal Split
• Preprocessing
  • Drop Modality
  • Concatenate Modalities
  • Single Modality
  • Add Missing Modalities
  • Sort Data
  • Multi-Modal Transformer
  • Normalizer NaN
  • Select Complete Samples
  • Select Incomplete Samples
• Retrieve
  • Multi-Channel Retriever (MCR)
• Statistics
  • PID
• Utils
  • Convert dataset format
  • Check Xs and y
• Visualize
  • Plot combinations
  • Plot missing modality
  • Plot PID
  • Plot summary