Acute Myeloid Leukemia Risk Group Prediction from Gene Expression Data with Feed-Forward Neural Networks
This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"
A collection of Jupyter notebooks for basic analysis of the data from the "BeatAML" study by Tyner et al. (2018)
R Shiny app encapsulating FilLT3r tool : https://doi.org/10.1186/s12859-022-04983-6
A collection of papers, reviews and applications related to Acute Myeloid Leukemia (AML)
A repository dedicated to sharing the AML/ALL related public information, papers, code and datasets that we come across through R&D.
A free information application for Magic Leap 1 providing basic information in Mixed Reality about Leukemia, Haemopoiesis, Acute Myeloid & Lymphoblastic Leukemia
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
A public repo of open Acute Myeloid Leukemia research papers discovered during project R&D
Federated digital pathology: classification of Acute Myeloid Leukemia (AML) cells with a CNN.
Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia
Intel DevMesh AI Spotlight Award winner. Acute Lymphoblastic Leukemia Detection System 2019 uses Tensorflow 1.4.1 & Neural Compute Stick 1 to provide an intelligent network and diagnosis system. Project by Adam Milton-Barker.
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