Patient-specific data fusion for cancer stratification and personalised treatment

Pacific Symposium on Biocomputing

Volumn , Issue , 2016, Pages 321-332

  Gligorijević, Vladimir ^a   Malod Dognin, Noël ^a   Pržulj, Nataša ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Cancer driver genes; Data fusion; Drug repurposing; Non negative Matrix Factorization; Tumor stratification

Indexed keywords

BINARY ALLOYS; CLINICAL RESEARCH; DATA FUSION; DISEASES; FACTORIZATION; GENES; LARGE DATASET; LEARNING SYSTEMS; PATIENT TREATMENT; POTASSIUM ALLOYS; SEARCH ENGINES; URANIUM ALLOYS;

BIOMEDICAL LITERATURE; DATABASE SEARCHES; HETEROGENEOUS DATASETS; MACHINE LEARNING TECHNIQUES; NON-NEGATIVE MATRIX; NONNEGATIVE MATRIX FACTORIZATION; REPURPOSING; STATE-OF-THE-ART METHODS;

MATRIX ALGEBRA;

BIOLOGY; CLASSIFICATION; DRUG REPOSITIONING; FACTUAL DATABASE; FEMALE; GENETICS; HUMAN; MACHINE LEARNING; MULTIGENE FAMILY; MUTATION; NEOPLASMS; ONCOGENE; OVARIAN NEOPLASMS; PERSONALIZED MEDICINE; PROCEDURES; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; DRUG REPOSITIONING; FEMALE; HUMANS; MACHINE LEARNING; MULTIGENE FAMILY; MUTATION; NEOPLASMS; ONCOGENES; OVARIAN NEOPLASMS; PRECISION MEDICINE;

EID: 84988644592     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789814749411_0030     Document Type: Conference Paper

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