Labour-efficient in vitro lymphocyte population tracking and fate prediction using automation and manual review.
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Quantitative characterization of cell behaviors through cell cycle progression via automated cell trackingFindFoci: a focus detection algorithm with automated parameter training that closely matches human assignments, reduces human inconsistencies and increases speed of analysisA multi-scale approach reveals that NF-κB cRel enforces a B-cell decision to divide.Machine learning applications in cell image analysis.
P2860
Labour-efficient in vitro lymphocyte population tracking and fate prediction using automation and manual review.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Labour-efficient in vitro lymp ...... automation and manual review.
@ast
Labour-efficient in vitro lymp ...... automation and manual review.
@en
type
label
Labour-efficient in vitro lymp ...... automation and manual review.
@ast
Labour-efficient in vitro lymp ...... automation and manual review.
@en
prefLabel
Labour-efficient in vitro lymp ...... automation and manual review.
@ast
Labour-efficient in vitro lymp ...... automation and manual review.
@en
P2093
P2860
P50
P1433
P1476
Labour-efficient in vitro lymp ...... g automation and manual review
@en
P2093
Alan Zhang
Cameron Wellard
John Markham
Mark R Dowling
Rajib Chakravorty
P2860
P304
P356
10.1371/JOURNAL.PONE.0083251
P407
P577
2014-01-03T00:00:00Z