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Volumn 7, Issue 1, 2015, Pages

ENVE: A novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients

Author keywords

[No Author keywords available]

Indexed keywords

AFRICAN AMERICAN; ALGORITHM; ARTICLE; BEST IN CLASS ALGORITHM; CANCER PATIENT; CAUCASIAN; CHROMOSOME DELETION; CHROMOSOME SPECIFIC NOISE THRESHOLD; CLINICAL ARTICLE; COLORECTAL CANCER; CONTROL FREEC ALGORITHM; CONTROLLED STUDY; COPY NUMBER VARIATION; DNA SEQUENCE; ETHNIC DIFFERENCE; EXTREME VALUE DISTRIBUTION BASED SOMATIC COPY NUMBER VARIATION ESTIMATION; GENE AMPLIFICATION; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC DATABASE; GENETIC PROCEDURES; HUMAN; HUMAN TISSUE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METHODOLOGY; MUTATIONAL ANALYSIS; PRIORITY JOURNAL; REAL TIME POLYMERASE CHAIN REACTION; REFERENCE VALUE; RELIABILITY; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; SINGLE NUCLEOTIDE POLYMORPHISM; SOMATIC COPY NUMBER ALTERATION; WHOLE EXOME SEQUENCING; COLORECTAL TUMOR; EXOME; GENETICS; GENOMICS; MUTATION; SOFTWARE;

EID: 84938842185     PISSN: None     EISSN: 1756994X     Source Type: Journal    
DOI: 10.1186/s13073-015-0192-9     Document Type: Article
Times cited : (2)

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