Aro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy images

被引：0
作者：
Allison Chia-Yi Wu
Scott A Rifkin
机构：
[1] University of California,Graduate Program in Bioinformatics and Systems Biology
[2] University of California,Section of Ecology, Behavior, and Evolution, Division of Biology
来源：
BMC Bioinformatics | / 16卷
关键词：
Single molecule imaging; smFISH; Random forest; Image informatics; RNA; Fluorescence microscopy; Machine learning; Image quality;
D O I：
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