Utilizing Selected Di- and Trinucleotides of siRNA to Predict RNAi Activity

Computational and Mathematical Methods in Medicine

Volumn 2017, Issue , 2017, Pages

  Han, Ye ^a   Liu, Yuanning ^a   Zhang, Hao ^a   He, Fei ^b   Shu, Chonghe ^a   Dong, Liyan ^a  

^a JILIN UNIVERSITY   (China)

^b NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; GENES; PREDICTIVE ANALYTICS; RNA;

ACTIVITY PREDICTIONS; ARGONAUTE PROTEINS; BINARY SEARCH; FEATURE SETS; POST-TRANSCRIPTIONAL GENE SILENCING; PREDICTION ACCURACY; SMALL INTERFERING RNA; TRINUCLEOTIDES;

FORECASTING;

ARGONAUTE PROTEIN; DINUCLEOTIDE; SMALL INTERFERING RNA; TRINUCLEOTIDE; NUCLEOTIDE;

ACCURACY; ARTICLE; BINDING SITE; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GENETIC ALGORITHM; HUMAN; NONHUMAN; PREDICTION; RANDOM FOREST; RNA BINDING; RNA INTERFERENCE; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; GENETICS; METABOLISM; MOUSE; RAT; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; THERMODYNAMICS;

ALGORITHMS; ANIMALS; COMPUTATIONAL BIOLOGY; HUMANS; MICE; MODELS, GENETIC; NUCLEOTIDES; RATS; REPRODUCIBILITY OF RESULTS; RNA INTERFERENCE; RNA, SMALL INTERFERING; ROC CURVE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, RNA; THERMODYNAMICS;

EID: 85012119019     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2017/5043984     Document Type: Article

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