Machine learning to detect signatures of disease in liquid biopsies-a user's guide

Lab on a Chip

Volumn 18, Issue 3, 2018, Pages 395-405

  Ko, Jina ^a   Baldassano, Steven N ^a   Loh, Po Ling ^b   Kording, Konrad ^a,c   Litt, Brian ^a,c   Issadore, David ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b University of Wisconsin Madison   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ALGORITHM; ANIMAL TISSUE; AVERAGING; BAYESIAN LEARNING; BOOTSTRAPPING; DECISION TREE; GENERAL ASPECTS OF DISEASE; HUMAN; HUMAN TISSUE; K NEAREST NEIGHBOR; LIQUID BIOPSY; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; NONHUMAN; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; REVIEW; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SUPERVISED MACHINE LEARNING; SUPPORT VECTOR MACHINE; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; FACTUAL DATABASE; MOLECULAR DIAGNOSIS;

ALGORITHMS; BIOMARKERS; CLUSTER ANALYSIS; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; LIQUID BIOPSY; MACHINE LEARNING; MOLECULAR DIAGNOSTIC TECHNIQUES;

EID: 85041308556     PISSN: 14730197     EISSN: 14730189     Source Type: Journal    
DOI: 10.1039/c7lc00955k     Document Type: Review

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