Alternatives and similar repositories for maldi-learn

Users that are interested in maldi-learn are comparing it to the libraries listed below

• broadinstitute / lincs-cell-painting
  Processed Cell Painting Data for the LINCS Drug Repurposing Project
  ☆28Updated 3 years ago
• broadinstitute / cell-health
  Predicting Cell Health with Morphological Profiles
  ☆37Updated 3 years ago
• royerlab / cytoself
  Self-supervised models for encoding protein localization patterns from microscopy images
  ☆77Updated 10 months ago
• BorgwardtLab / maldi_amr
  Code for the paper "Antimicrobial resistance prediction in clinical isolates through machine learning on MALDI-TOF mass spectra"
  ☆43Updated 2 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆50Updated 6 months ago
• SlavovLab / SCP_recommendations
  Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments. The code is distributed under an …
  ☆12Updated 2 years ago
• cantinilab / momix-notebook
  ☆67Updated last year
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆26Updated 2 years ago
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆62Updated last year
• jump-cellpainting / datasets
  Images and other data from the JUMP Cell Painting Consortium
  ☆173Updated last month
• JacobHanimann / scDINO
  Self-Supervised Vision Transformers for multiplexed imaging datasets
  ☆54Updated last year
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆53Updated 2 weeks 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…
  ☆17Updated 5 years ago
• rongstat / meta-visualization
  A spectral method for assessing and combining multiple data visualizations
  ☆50Updated 2 years ago
• canzarlab / JVis-learn
  ☆20Updated 4 years ago
• carpenter-singh-lab / 2023_Cimini_NatureProtocols
  Optimizing the Cell Painting assay for image-based profiling
  ☆20Updated 7 months ago
• cytomining / pycytominer
  Python package for processing image-based profiling data
  ☆119Updated this week
• imjoy-team / example-plugins
  ☆15Updated 4 years ago
• sanderlab / CellBox
  CellBox: Interpretable Machine Learning for Perturbation Biology
  ☆55Updated 2 years ago
• snap-stanford / stellar
  ☆67Updated 2 years ago
• carpenter-singh-lab / 2023_Arevalo_NatComm_BatchCorrection
  Evaluating batch correction methods for image-based cell profiling
  ☆14Updated 7 months ago
• biocompibens / pySpacell
  A Python package for single-cell spatial image analysis.
  ☆18Updated last year
• jump-cellpainting / 2024_Chandrasekaran_NatureMethods_CPJUMP1
  ☆64Updated 5 months ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆54Updated 10 months ago
• cytomining / DeepProfiler
  Morphological profiling using deep learning
  ☆117Updated 9 months ago
• Henrik86 / Topological-tumour-graphs
  ☆11Updated 5 years ago
• cytomining / cytominer
  Methods for Image-Based Cell Profiling
  ☆51Updated last year
• AltschulerWu-Lab / MUSE
  MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…
  ☆34Updated 3 years ago
• DabinJeong / GOAT_multi-omics_biomarker
  Multi-omics biomarker discovery tool exploiting a gene-gene interaction network
  ☆16Updated last year
• TeoSakel / deep-drug-response
  ☆19Updated 4 years ago