Bioimage-based protein subcellular location prediction: a comprehensive review

Subcellular localization of proteins can provide key hints to infer their functions and structures in cells. With the breakthrough of recent molecule imaging techniques, the usage of 2D bioimages has become increasingly popular in automatically analyzing the protein subcellular location patterns. Co...

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Veröffentlicht in:	Frontiers of Computer Science Jg. 12; H. 1; S. 26 - 39
Hauptverfasser:	XU, Ying-Ying, YAO, Li-Xiu, SHEN, Hong-Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beijing Higher Education Press 01.02.2018 Springer Nature B.V
Schlagworte:	Algorithms Amino acids Automation bioimage informatics Bioinformatics Biomarkers Cancer Computer Science Dynamic characteristics global and local features Imaging techniques Localization Machine learning Microscopy multi-location protein recognition Pattern recognition systems protein subcellular location prediction Proteins Protons Review Article bioimage informatics protein subcellular location prediction multi-location protein recognition global and local features
ISSN:	2095-2228, 2095-2236
Online-Zugang:	Volltext
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