Alternatives and similar repositories for MOVE

Users that are interested in MOVE are comparing it to the libraries listed below

• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆55Updated 2 years ago
• PayneLab / cptac
  Python packaging for CPTAC data
  ☆96Updated last year
• BIMSBbioinfo / flexynesis
  A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner
  ☆86Updated this week
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆84Updated last year
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆37Updated 2 years ago
• const-ae / linear_perturbation_prediction-Paper
  ☆54Updated 2 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆51Updated last month
• ShenLab-Genomics / SpliceTransformer
  SpliceTransformer(SpTransformer) is a deep learning tool to predict tissue specific splicing site from pre-mRNA sequence
  ☆29Updated 10 months ago
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆160Updated 3 years ago
• ArnovanHilten / GenNet
  Framework for Interpretable Neural Networks
  ☆110Updated 6 months ago
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 4 years ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆120Updated 3 weeks ago
• BoevaLab / CancerFoundation
  CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
  ☆24Updated 3 weeks ago
• ruppinlab / PERCEPTION
  Utilizing single-cell omics from patients tumor to predict response and resistance.
  ☆71Updated 2 years ago
• instadeepai / multiomics-open-research
  BulkRNABert and MOJO
  ☆29Updated 2 months ago
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆56Updated 4 months ago
• SONGDONGYUAN1994 / scDesign3
  scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
  ☆103Updated last week
• cantinilab / momix-notebook
  ☆67Updated last year
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago
• KrishnaswamyLab / SingleCellWorkshop
  ☆94Updated 4 years ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆90Updated last month
• snap-stanford / SATURN
  ☆139Updated last year
• nitzanlab / biolord
  ☆84Updated last year
• bedapub / besca
  BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis
  ☆50Updated 4 months ago
• poseidonchan / TAPE
  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
  ☆54Updated last year
• ZhangLabGT / scMultiSim
  A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
  ☆61Updated last week
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆56Updated last year
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆145Updated last year
• epigenelabs / inmoose
  InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.
  ☆105Updated last month
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆82Updated 11 months ago