Cargando…

KinMutRF: a random forest classifier of sequence variants in the human protein kinase superfamily

BACKGROUND: The association between aberrant signal processing by protein kinases and human diseases such as cancer was established long time ago. However, understanding the link between sequence variants in the protein kinase superfamily and the mechanistic complex traits at the molecular level rem...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pons, Tirso, Vazquez, Miguel, Matey-Hernandez, María Luisa, Brunak, Søren, Valencia, Alfonso, Izarzugaza, Jose MG
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2016
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928150/ https://www.ncbi.nlm.nih.gov/pubmed/27357839 http://dx.doi.org/10.1186/s12864-016-2723-1

Ejemplares similares

wKinMut: An integrated tool for the analysis and interpretation of mutations in human protein kinases
por: Izarzugaza, Jose MG, et al.
Publicado: (2013)

Prioritization of pathogenic mutations in the protein kinase superfamily
por: Izarzugaza, Jose MG, et al.
Publicado: (2012)

Benchmarking the HLA typing performance of Polysolver and Optitype in 50 Danish parental trios
por: Matey-Hernandez, Maria Luisa, et al.
Publicado: (2018)

KinImmerse: Macromolecular VR for NMR ensembles
por: Block, Jeremy N, et al.
Publicado: (2009)

Enhancing the prediction of protein pairings between interacting families using orthology information
por: Izarzugaza, Jose MG, et al.
Publicado: (2008)

PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
por: Pradier, Léa, et al.
Publicado: (2021)

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
por: Rachid Zaim, Samir, et al.
Publicado: (2020)

Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest
por: Lee, Juyong, et al.
Publicado: (2015)

Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae
por: Silva, José Cleydson F., et al.
Publicado: (2017)

Structure-PPi: a module for the annotation of cancer-related single-nucleotide variants at protein–protein interfaces
por: Vázquez, Miguel, et al.
Publicado: (2015)

MutComFocal: an integrative approach to identifying recurrent and focal genomic alterations in tumor samples
por: Trifonov, Vladimir, et al.
Publicado: (2013)

Fast and accurate mutation detection in whole genome sequences of multiple isogenic samples with IsoMut
por: Pipek, O., et al.
Publicado: (2017)

Extraction of human kinase mutations from literature, databases and genotyping studies
por: Krallinger, Martin, et al.
Publicado: (2009)

MutS/MutL crystal structure reveals that the MutS sliding clamp loads MutL onto DNA
por: Groothuizen, Flora S, et al.
Publicado: (2015)

RF_Purify: a novel tool for comprehensive analysis of tumor-purity in methylation array data based on random forest regression
por: Johann, Pascal David, et al.
Publicado: (2019)

KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinases
por: Huang, Liang-Chin, et al.
Publicado: (2021)

MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins
por: Ge, Fang, et al.
Publicado: (2021)

An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++
por: Karpievitch, Yuliya V., et al.
Publicado: (2009)

Coronavirus 3CL(pro )proteinase cleavage sites: Possible relevance to SARS virus pathology
por: Kiemer, Lars, et al.
Publicado: (2004)

The Presence of the DNA Repair Genes mutM, mutY, mutL, and mutS is Related to Proteome Size in Bacterial Genomes
por: Garcia-Gonzalez, Aurian, et al.
Publicado: (2012)

A Jackknife and Voting Classifier Approach to Feature Selection and Classification
por: Taylor, Sandra L., et al.
Publicado: (2011)

IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier
por: Zhu, Rong, et al.
Publicado: (2021)

Editorial: A Comparative Survey of the RF-Amide Peptide Superfamily
por: Rousseau, Karine, et al.
Publicado: (2015)

Kin and Non-Kin Connected Plants Benefit More Than Disconnected Kin and Non-Kin Plants under Nutrient-Competitive Environments
por: Sher, Jan, et al.
Publicado: (2023)

Prediction of twin-arginine signal peptides
por: Bendtsen, Jannick Dyrløv, et al.
Publicado: (2005)

MutSβ exceeds MutSα in dinucleotide loop repair
por: Kantelinen, J, et al.
Publicado: (2010)

Classification of Metagenomics Data at Lower Taxonomic Level Using a Robust Supervised Classifier
por: Hou, Tao, et al.
Publicado: (2015)

Kith and kin
por: Fothergill, Jessie, 1851-1891
Publicado: (1881)

Neural pathways of olfactory kin imprinting and kin recognition in zebrafish
por: Gerlach, Gabriele, et al.
Publicado: (2021)

Fungal biomarker discovery by integration of classifiers
por: Saraiva, João Pedro, et al.
Publicado: (2017)

MethPed: a DNA methylation classifier tool for the identification of pediatric brain tumor subtypes
por: Danielsson, Anna, et al.
Publicado: (2015)

Comparison of calculation methods for estimating annual carbon stock change in German forests under forest management in the German greenhouse gas inventory
por: Röhling, Steffi, et al.
Publicado: (2016)

Estimating biomass and soil carbon change at the level of forest stands using repeated forest surveys assisted by airborne laser scanner data
por: Strîmbu, Victor F., et al.
Publicado: (2023)

Protocol for personal RF-EMF exposure measurement studies in 5th generation telecommunication networks
por: Velghe, Maarten, et al.
Publicado: (2021)

Cluster ensemble based on Random Forests for genetic data
por: Alhusain, Luluah, et al.
Publicado: (2017)

Reporting of complex interventions in clinical trials: development of a taxonomy to classify and describe fall-prevention interventions
por: Lamb, Sarah E, et al.
Publicado: (2011)

Prediction of Disease Causing Non-Synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP
por: Johansen, Morten Bo, et al.
Publicado: (2013)

A probabilistic classifier for olfactory receptor pseudogenes
por: Menashe, Idan, et al.
Publicado: (2006)

Prediction of heart disease and classifiers’ sensitivity analysis
por: Almustafa, Khaled Mohamad
Publicado: (2020)

Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model approach
por: Truong, Kevin, et al.
Publicado: (2002)

Cannot write session to /tmp/vufind_sessions/sess_slvebn0uikr5t6qfm59qot9dgj