Biases in the experimental annotations of protein function and their effect on our understanding of protein function space.
about
Covalent docking predicts substrates for haloalkanoate dehalogenase superfamily phosphatasesAn expanded evaluation of protein function prediction methods shows an improvement in accuracyDynamics of the discovery process of protein-protein interactions from low content studiesThe Confidence Information Ontology: a step towards a standard for asserting confidence in annotationsCan inferred provenance and its visualisation be used to detect erroneous annotation? A case study using UniProtKBCATH: comprehensive structural and functional annotations for genome sequences.The enzymatic nature of an anonymous protein sequence cannot reliably be inferred from superfamily level structural information aloneBiocuration in the structure-function linkage database: the anatomy of a superfamilyNew insights about enzyme evolution from large scale studies of sequence and structure relationships.Predicting protein function via downward random walks on a gene ontologyCaptured metagenomics: large-scale targeting of genes based on 'sequence capture' reveals functional diversity in soils.Interspecies gene function prediction using semantic similarity.Network-driven plasma proteomics expose molecular changes in the Alzheimer's brain.Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt.Bioinformatics approaches for the functional interpretation of protein lists: from ontology term enrichment to network analysis.NoGOA: predicting noisy GO annotations using evidences and sparse representation.Exploring Approaches for Detecting Protein Functional Similarity within an Orthology-based Framework.Gene Ontology: Pitfalls, Biases, and Remedies.Evaluating Computational Gene Ontology Annotations.NegGOA: negative GO annotations selection using ontology structure.A close look at protein function prediction evaluation protocolsPANNZER: high-throughput functional annotation of uncharacterized proteins in an error-prone environment.Mining a database of single amplified genomes from Red Sea brine pool extremophiles-improving reliability of gene function prediction using a profile and pattern matching algorithm (PPMA)Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks.Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategiesMissense variant pathogenicity predictors generalize well across a range of function-specific prediction challenges.Protein function in precision medicine: deep understanding with machine learning.Functional classification of CATH superfamilies: a domain-based approach for protein function annotation.Protein Function Prediction Using Deep Restricted Boltzmann Machines.Molecular annotation of ketol-acid reductoisomerases from Streptomyces reveals a novel amino acid biosynthesis interlock mediated by enzyme promiscuity.Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily.ADAGE signature analysis: differential expression analysis with data-defined gene sets.CommWalker: Correctly Evaluating Modules in Molecular Networks in Light of Annotation Bias.Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations.Enumerating consistent sub-graphs of directed acyclic graphs: an insight into biomedical ontologies.
P2860
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P2860
Biases in the experimental annotations of protein function and their effect on our understanding of protein function space.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Biases in the experimental ann ...... ing of protein function space.
@ast
Biases in the experimental ann ...... ing of protein function space.
@en
Biases in the experimental ann ...... ing of protein function space.
@nl
type
label
Biases in the experimental ann ...... ing of protein function space.
@ast
Biases in the experimental ann ...... ing of protein function space.
@en
Biases in the experimental ann ...... ing of protein function space.
@nl
prefLabel
Biases in the experimental ann ...... ing of protein function space.
@ast
Biases in the experimental ann ...... ing of protein function space.
@en
Biases in the experimental ann ...... ing of protein function space.
@nl
P2093
P2860
P1476
Biases in the experimental ann ...... ing of protein function space.
@en
P2093
Alexander W Thorman
Alexandra M Schnoes
David C Ream
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003063
P577
2013-05-30T00:00:00Z