Cargando…

Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning

BACKGROUND: Plastids are an important component of plant cells, being the site of manufacture and storage of chemical compounds used by the cell, and contain pigments such as those used in photosynthesis, starch synthesis/storage, cell color etc. They are essential organelles of the plant cell, also...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kaundal, Rakesh, Sahu, Sitanshu S, Verma, Ruchi, Weirick, Tyler
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851450/ https://www.ncbi.nlm.nih.gov/pubmed/24266945 http://dx.doi.org/10.1186/1471-2105-14-S14-S7

Ejemplares similares

Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches
por: Sahu, Sitanshu S, et al.
Publicado: (2014)

LacSubPred: predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in silico approaches
por: Weirick, Tyler, et al.
Publicado: (2014)

Plant-mSubP: a computational framework for the prediction of single- and multi-target protein subcellular localization using integrated machine-learning approaches
por: Sahu, Sitanshu S, et al.
Publicado: (2019)

PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors
por: Ahmed, Firoz, et al.
Publicado: (2013)

A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins
por: Verma, Ruchi, et al.
Publicado: (2012)

Identification of transcription factor contexts in literature using machine learning approaches
por: Yang, Hui, et al.
Publicado: (2008)

ProFeatX: A parallelized protein feature extraction suite for machine learning
por: Guevara-Barrientos, David, et al.
Publicado: (2022)

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
por: You, Zhu-Hong, et al.
Publicado: (2013)

Protein sequence classification using feature hashing
por: Caragea, Cornelia, et al.
Publicado: (2012)

Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data
por: Held, Elizabeth, et al.
Publicado: (2016)

Prediction of DNA-binding protein based on statistical and geometric features and support vector machines
por: Zhou, Weiqiang, et al.
Publicado: (2011)

An unsupervised machine learning method for assessing quality of tandem mass spectra
por: Lin, Wenjun, et al.
Publicado: (2012)

BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature
por: Kuo, Cheng-Ju, et al.
Publicado: (2009)

Learning Interpretable SVMs for Biological Sequence Classification
por: Rätsch, Gunnar, et al.
Publicado: (2006)

MicroRNA identification using linear dimensionality reduction with explicit feature mapping
por: Shakiba, Navid, et al.
Publicado: (2013)

Identification of functional genetic variation in exome sequence analysis
por: Jaffe, Andrew, et al.
Publicado: (2011)

Machine learning and data mining in complex genomic data—a review on the lessons learned in Genetic Analysis Workshop 19
por: König, Inke R., et al.
Publicado: (2016)

Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features
por: Tang, Buzhou, et al.
Publicado: (2013)

Soil nutrient assessment based on attribute recognition model in the Loess Plateau of China
por: Jiao, Feng, et al.
Publicado: (2013)

MINER: exploratory analysis of gene interaction networks by machine learning from expression data
por: Kadupitige, Sidath Randeni, et al.
Publicado: (2009)

Sequence-only evolutionary and predicted structural features for the prediction of stability changes in protein mutants
por: Folkman, Lukas, et al.
Publicado: (2013)

A scalable machine-learning approach to recognize chemical names within large text databases
por: Wren, Jonathan D
Publicado: (2006)

Classification of ADHD patients on the basis of independent ERP components using a machine learning system
por: Mueller, Andreas, et al.
Publicado: (2010)

Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach
por: Mete, Mutlu, et al.
Publicado: (2016)

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features
por: Wang, Bing, et al.
Publicado: (2013)

Clustering-based identification of clonally-related immunoglobulin gene sequence sets
por: Chen, Zhiliang, et al.
Publicado: (2010)

Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression
por: Bevilacqua, Vitoantonio, et al.
Publicado: (2012)

Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
por: Landry, Matthew, et al.
Publicado: (2007)

Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiae
por: Kontos, Kevin, et al.
Publicado: (2008)

Drug activity prediction using multiple-instance learning via joint instance and feature selection
por: Zhao, Zhendong, et al.
Publicado: (2013)

Statistical assessment of discriminative features for protein-coding and non coding cross-species conserved sequence elements
por: Creanza, Teresa M, et al.
Publicado: (2009)

Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets
por: Hughes, Adam, et al.
Publicado: (2012)

Whole-genome sequencing and identification of Morganella morganii KT pathogenicity-related genes
por: Chen, Yu-Tin, et al.
Publicado: (2012)

Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory
por: Huang, Chien-Hung, et al.
Publicado: (2016)

Characterization and identification of ubiquitin conjugation sites with E3 ligase recognition specificities
por: Nguyen, Van-Nui, et al.
Publicado: (2015)

Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
por: Lin, HH, et al.
Publicado: (2006)

Discovery and characterization of medaka miRNA genes by next generation sequencing platform
por: Li, Sung-Chou, et al.
Publicado: (2010)

Sequence and structural features of binding site residues in protein-protein complexes: comparison with protein-nucleic acid complexes
por: Gromiha, M Michael, et al.
Publicado: (2011)

Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features
por: Kumar, Sunil, et al.
Publicado: (2016)

Machine learning techniques in disease forecasting: a case study on rice blast prediction
por: Kaundal, Rakesh, et al.
Publicado: (2006)

Cannot write session to /tmp/vufind_sessions/sess_bmbbe6nuuhm1nj90qvs8djgsl0