Dec 9, 2022 · In this study, the utility of Fotomics was evaluated for automated cell identity mapping via supervised classification of omics images using a ...
Nov 10, 2022 · This study develops upon the concept of “omics imagification” as a process of transforming a vector representing these numerical measurements into an image.
This repository contains a python implementation of Fotomics algorithm that converts non-image data into images. Different omics profiles, depending on the ...
Dec 21, 2022 · A transformed image represents 2D coordinates of molecules in a neighbour-embedded space representing molecular abundance and gene intensity.
Dec 9, 2022 · This study develops upon the concept of “omics imagification” as a process of transforming a vector representing these numerical measurements ...
Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles. SM Zandavi, D Liu, V Chung ...
Jun 10, 2024 · Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles. Artif ...
Aug 2, 2023 · Fotomics: fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles.
This study develops upon the concept of “omics imagification” as a process of transforming a vector representing these numerical measurements into an image.
Select Publications by Associate Professor Fatemeh Vafaee
research.unsw.edu.au › people › publicat...
... fourier transform-based omics imagification for deep learning-based cell-identity mapping using single-cell omics profiles', Artificial Intelligence Review, 56, ...