Cargando…

Evaluating statistical learning methods for cell type classification and feature selection using RNA-seq data

Detalles Bibliográficos
Autor principal:	Chen, Hao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2014
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196071/ http://dx.doi.org/10.1186/1471-2105-15-S10-P26

Ejemplares similares

Development and evaluation of RNA-seq methods
por: Levin, Joshua, et al.
Publicado: (2010)

RNA-Seq methods for imperfect samples: development, evaluation and applications
por: Adiconis, Xian, et al.
Publicado: (2011)

Transcript quantification with RNA-Seq data
por: Bohnert, Regina, et al.
Publicado: (2009)

Development of a literature informed Bayesian machine learning method for feature extraction and classification
por: Madahian, Behrouz, et al.
Publicado: (2015)

Classification and visualization of neural patterns using subspace analysis statistical methods
por: Xia, Jun, et al.
Publicado: (2012)

Metastats: an improved statistical method for analysis of metagenomic data
por: Paulson, Joseph N, et al.
Publicado: (2011)

On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data
por: Ng, Grace Yee Lin, et al.
Publicado: (2023)

Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations
por: Müller, Christoph, et al.
Publicado: (2014)

Change point detection for neuronal data with CUSUM and classification methods
por: Koepcke, Lena, et al.
Publicado: (2013)

Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data
por: Jiang, Lai, et al.
Publicado: (2020)

An evaluation of statistical differential analysis methods in single-cell RNA-seq data
por: Li, Dongmei, et al.
Publicado: (2023)

Evaluation of classification in single cell atac-seq data with machine learning methods
por: Guo, Hongzhe, et al.
Publicado: (2022)

From proteomic data to networks: statistics and methods reveal ciliary protein interaction landscape
por: Lu, Q, et al.
Publicado: (2015)

Effects of nitrogen fertilization on global xylem transcript profiling of Eucalyptus urophylla x grandis evaluated by RNA-seq technology
por: Camargo, Eduardo, et al.
Publicado: (2011)

Intrinsic entropy model for feature selection of scRNA-seq data
por: Li, Lin, et al.
Publicado: (2022)

Complete RNA-seq analysis of cancer transcriptomes from FFPE samples
por: Luo, Shujun, et al.
Publicado: (2010)

RNA-Seq analysis of two brain regions vulnerable to Alzheimer's disease
por: Wang, Xinkun
Publicado: (2012)

Analysis of replacing DNase-seq data with histone marks in computational dimer prediction
por: Osamor, Victor Chukwudi, et al.
Publicado: (2015)

Optimal patient classification via statistical decomposition of a 3D left-ventricular atlas
por: Medrano-Gracia, Pau, et al.
Publicado: (2013)

Transcriptome profiling from formalin-fixed, paraffin-embedded tumor specimens by RNA-seq
por: Qu, Kunbin, et al.
Publicado: (2010)

Statistical methods on detecting differentially expressed genes for RNA-seq data
por: Chen, Zhongxue, et al.
Publicado: (2011)

RNA-Seq-based transcriptional map of the bovine respiratory disease pathogen Histophilus somni 2336
por: Kumar, Ranjit, et al.
Publicado: (2011)

Comprehensive genomic profiling of the lung transcriptome in emphysema and idiopathic pulmonary fibrosis using RNA-Seq
por: Kusko, Rebecca L, et al.
Publicado: (2012)

Statistical analysis of multiple significance test methods for differential proteomics
por: Wang, Bing, et al.
Publicado: (2010)

The application of statistical methods to cognate docking: A path forward?
por: Stahl, Gunther, et al.
Publicado: (2014)

Statistical evaluation of surrogate endpoints: a systematic review
por: Ensor, Hannah, et al.
Publicado: (2013)

Evaluation of different machine learning methods for ligand-based virtual screening
por: Kurczab, R, et al.
Publicado: (2011)

Gene classification for microarray data with multiple time measurements
por: Quiton, Jonathan, et al.
Publicado: (2008)

Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data
por: Ghosh, Debashis, et al.
Publicado: (2010)

Beyond the frontiers of neuronal types: fuzzy classification of interneurons
por: Gutch, Harold W, et al.
Publicado: (2013)

Evaluation of bacterial ribosomal RNA (rRNA) depletion methods for sequencing microbial community transcriptomes
por: Ciulla, Dawn, et al.
Publicado: (2010)

Dynamic feature selectivity in the thalamus of the rat whisker system
por: Shephard, Clarissa J, et al.
Publicado: (2013)

Statistical modelling of biomarkers incorporating non-proportional effects for survival data
por: Stephen, Jacqueline, et al.
Publicado: (2013)

Revised classification of kinases based on bioactivity data: the importance of data density and choice of visualization
por: Paricharak, Shardul, et al.
Publicado: (2013)

sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic
por: Das, Pijush, et al.
Publicado: (2020)

Prediction of the success of cardiac resuscitation: a pattern classification approach based on ECG spectral and temporal features
por: Baronio, M, et al.
Publicado: (2010)

Identification of pyrin targets by CHiP-Seq
por: Wood, G, et al.
Publicado: (2015)

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
por: Bullard, James H, et al.
Publicado: (2010)

Visualization and classification of neural ensemble encoding patterns by subspace analysis methods
por: Oşan, Remus, et al.
Publicado: (2007)

Classification of multivariate data with a spiking neural network on neuromorphic hardware
por: Schmuker, Michael, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_b1iigdkdlv1s3bd4nutvp4nb00