PaPI: Pseudo amino acid composition to score human protein-coding variants

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Limongelli, Ivan ^a,b   Marini, Simone ^b   Bellazzi, Riccardo ^b  

^a FONDAZIONE IRCCS POLICLINICO SAN MATTEO   (Italy)

^b UNIVERSITY OF PAVIA   (Italy)

Author keywords

Exome; Prediction; Pseudo amino acid composition; Sequencing; Variant

Indexed keywords

ALGORITHMS; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; CODES (SYMBOLS); FORECASTING; GENES; PROTEINS;

BIOLOGICAL SIGNIFICANCE; EVOLUTIONARY CONSERVATIONS; EXOME; HIGH-THROUGHPUT SEQUENCING; MACHINE LEARNING APPROACHES; PSEUDO AMINO ACID COMPOSITIONS; SEQUENCING; VARIANT;

LEARNING SYSTEMS;

AMINO ACID; PROTEIN;

ALGORITHM; ARTIFICIAL INTELLIGENCE; COMPUTER PROGRAM; EXOME; GENETIC VARIABILITY; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME;

ALGORITHMS; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; EXOME; GENETIC VARIATION; GENOME, HUMAN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; PROTEINS; SOFTWARE;

EID: 84928554654     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0554-8     Document Type: Article

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