Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis
Deep-Manager is a software platform that enables efficient selection of features with lower sensitivity to unspecified disturbances across sets of similar experiments in bioimaging.
Main Authors: | A. Mencattini, M. D’Orazio, P. Casti, M. C. Comes, D. Di Giuseppe, G. Antonelli, J. Filippi, F. Corsi, L. Ghibelli, I. Veith, C. Di Natale, M. C. Parrini, E. Martinelli |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-03-01
|
Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-023-04585-9 |
Similar Items
-
Experimental and numerical assessment of breathing walls performance for theimprovement of air quality and comfort indoors
by: Elisa Di Giuseppe, et al.
Published: (2016-05-01) -
Towards a user-centered framework to support proactive Building Operation and Maintenance: preliminary results of a communication platform between users and stakeholders
by: Gabriele Bernardini, et al.
Published: (2020-07-01) -
Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests
by: Marco D'Orazio, et al.
Published: (2023-04-01) -
CAR T Cell Therapy: A Versatile Living Drug
by: Rodrigo C. De Marco, et al.
Published: (2023-03-01) -
CWL-PLAS: Task Workflows Assisted by Data Science Cloud Platforms
by: Andrea Detti, et al.
Published: (2023-01-01)