An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
about
High Throughput Analysis of Golgi Structure by Imaging Flow CytometryReconstructing cell cycle and disease progression using deep learning.Imaging cytometry: Automated morphology and feature extraction.flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry.A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data.Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes
P2860
An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
description
2016 nî lūn-bûn
@nan
2016 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
An open-source solution for ad ...... alysis using machine learning.
@ast
An open-source solution for ad ...... alysis using machine learning.
@en
type
label
An open-source solution for ad ...... alysis using machine learning.
@ast
An open-source solution for ad ...... alysis using machine learning.
@en
prefLabel
An open-source solution for ad ...... alysis using machine learning.
@ast
An open-source solution for ad ...... alysis using machine learning.
@en
P2093
P2860
P921
P1433
P1476
An open-source solution for ad ...... alysis using machine learning.
@en
P2093
Andrew Filby
Holger Hennig
Lee Kamentsky
Thomas Blasi
P2860
P304
P356
10.1016/J.YMETH.2016.08.018
P577
2016-09-02T00:00:00Z