• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • License
    MIT License
  • Created over 3 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Single cell based explainable multiple instance learning algorithm (SCEMILA) for genetic acute myeloid leukemia subtype classification.

More Repositories

1

BaSiC

A BaSiC Tool for Background and Shading Correction of Optical Microscopy Images
MATLAB
53
star
2

DomainLab

modular domain generalization: https://pypi.org/project/domainlab/
Python
42
star
3

InstantDL

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Python
41
star
4

SHAPR_torch

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
Python
38
star
5

DISPR

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Python
33
star
6

DinoBloom

Blood Cell Foundation Model based on DINOv2
Python
26
star
7

HistoGPT

A vision language model for gigapixel whole slide images in histopathology
Jupyter Notebook
25
star
8

HematoFatePrediction

Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4182
MATLAB
20
star
9

Med-AL-SSL

Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets
Python
16
star
10

SHAPR

SHAPR - An AI approach to predict 3D cell shapes from 2D microscopic images
Python
14
star
11

CAR_T_TargetIdentification

Computational identification of targets for CAR-T cell therapy in AML
Jupyter Notebook
14
star
12

scifAI

scifAI: An explainable AI python framework for the analysis of multi-channel imaging data
Python
6
star
13

Anomaly-aware-MIL

A simple pooling method for multiple instance learning based on attention and anomaly scores of instances.
Python
6
star
14

ClassificationALL

Accurate classification of blood cells in a small acute lymphoblastic leukemia dataset using convolutional neural networks
Python
5
star
15

causalspyne

Python data generation tool with unobserved confounding as testbed for causal discovery and causal abstraction
Python
3
star
16

AE-CFE

Python
3
star
17

attMIL

Attention Based Multiple Instance Learning (attMIL)
Python
3
star
18

RedTell

Python
3
star
19

BatchDetect

BatchDetect: a python package for detect systematic batch effects in datasets
Python
2
star
20

WBC-NCA

Jupyter Notebook
2
star
21

percollFFT

Python
1
star
22

Gal1repression

Modeling Gal1 repression kinetics in single budding yeast cells
MATLAB
1
star
23

HematopoiesisModelComparison

comparison of different lineage hierarchy models describing hematopoiesis
Jupyter Notebook
1
star
24

Bright2Nuc

Preprint: https://www.biorxiv.org/content/10.1101/2022.08.30.505835v1.full.pdf
Python
1
star
25

NeurogenesisAnalysis

Pre-anaylsis, neurogenesis model implementation, parameter inference procedure, model averaging, model evaluation and prediction
C
1
star