Automated image-based phenotypic screening for high-throughput drug discovery

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2009, Pages

  Singh, Rahul ^a,b   Pittas, Michalis ^a   Heskia, Ido ^a   Xu, Fengyun ^b   McKerrow, James ^b   Caffrey, Conor R ^c  

^a SAN FRANCISCO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE AND BEHAVIOR; APPEARANCE BASED; AUTOMATIC CLASSIFICATION; BEHAVIORAL CHARACTERISTICS; COMPLEX PHENOTYPE; DESCRIPTORS; DRUG DISCOVERY; END-POINT MEASUREMENT; EXPERIMENTAL DATA; HIGH-THROUGHPUT; HIGH-THROUGHPUT SCREENING; IMAGE-BASED; LEAD IDENTIFICATION; MACHINE LEARNING TECHNIQUES; ON-LINE SETTING; PHENOTYPIC SCREENING;

AUTOMATIC INDEXING; DRUG PRODUCTS; ELECTRIC BATTERIES; HIGH TEMPERATURE SUPERCONDUCTORS; LEARNING ALGORITHMS;

DRUG INTERACTIONS;

EID: 70449652432     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2009.5255338     Document Type: Conference Paper

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