BIGCHEM: Challenges and Opportunities for Big Data Analysis in Chemistry

Molecular Informatics

Volumn 35, Issue 11-12, 2016, Pages 615-621

  Tetko, Igor V ^a,b   Engkvist, Ola ^c   Koch, Uwe ^d   Reymond, Jean Louis ^e   Chen, Hongming ^c  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b BigChem GmbH   (Germany)

^c ASTRAZENECA R AND D   (Sweden)

^d Lead Discovery Center GmbH   (Germany)

^e UNIVERSITY OF BERN   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA VISUALIZATION; INFORMATION ANALYSIS; INFORMATION DISSEMINATION; LEARNING SYSTEMS;

BIOLOGICAL DATA; BIOMEDICAL DATA; CHEMICAL AND BIOLOGICALS; CHEMICAL DATA; DATA QUALITY; DATA SHARING; DE-CONVOLUTION; LIFE-SCIENCES; MACHINE LEARNING METHODS; PHENOTYPIC SCREENING;

BIG DATA;

ARTICLE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SECURITY; DATA ANALYSIS; DATA MINING; DRUG INDUSTRY; HUMAN; MACHINE LEARNING; PHENOTYPE; POLYPHARMACOLOGY; PRIORITY JOURNAL; SCIENTIST; STRUCTURE ACTIVITY RELATION; COOPERATION; INFORMATION DISSEMINATION; MEDICAL RESEARCH; MEDICINAL CHEMISTRY; PROCEDURES;

BIOMEDICAL RESEARCH; CHEMISTRY, PHARMACEUTICAL; COOPERATIVE BEHAVIOR; DRUG INDUSTRY; HUMANS; INFORMATION DISSEMINATION; MACHINE LEARNING;

EID: 84978913253     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.201600073     Document Type: Article

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