Cargando…

Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data

BACKGROUND: Few studies have investigated prognostic biomarkers of distant metastases of lung cancer. One of the central difficulties in identifying biomarkers from microarray data is the availability of only a small number of samples, which results overtraining. Recently obtained evidence reveals t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Hui-Ling, Wu, Yu-Chung, Su, Li-Jen, Huang, Yun-Ju, Charoenkwan, Phasit, Chen, Wen-Liang, Lee, Hua-Chin, Chu, William Cheng-Chung, Ho, Shinn-Ying
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349617/ https://www.ncbi.nlm.nih.gov/pubmed/25881029 http://dx.doi.org/10.1186/s12859-015-0463-x

Ejemplares similares

NeurphologyJ: An automatic neuronal morphology quantification method and its application in pharmacological discovery
por: Ho, Shinn-Ying, et al.
Publicado: (2011)

SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs
por: Charoenkwan, Phasit, et al.
Publicado: (2013)

HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening
por: Charoenkwan, Phasit, et al.
Publicado: (2013)

SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides
por: Liou, Yi-Fan, et al.
Publicado: (2014)

Additive risk survival model with microarray data
por: Ma, Shuangge, et al.
Publicado: (2007)

Predicting Neuroinflammation in Morphine Tolerance for Tolerance Therapy from Immunostaining Images of Rat Spinal Cord
por: Lin, Shinn-Long, et al.
Publicado: (2015)

SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method
por: Vasylenko, Tamara, et al.
Publicado: (2015)

Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
por: Matsui, Shigeyuki
Publicado: (2006)

TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides
por: Charoenkwan, Phasit, et al.
Publicado: (2023)

SSHscreen and SSHdb, generic software for microarray based gene discovery: application to the stress response in cowpea
por: Coetzer, Nanette, et al.
Publicado: (2010)

Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition
por: Huang, Hui-Ling, et al.
Publicado: (2012)

TROLLOPE: A novel sequence-based stacked approach for the accelerated discovery of linear T-cell epitopes of hepatitis C virus
por: Charoenkwan, Phasit, et al.
Publicado: (2023)

Preprocessing differential methylation hybridization microarray data
por: Sun, Shuying, et al.
Publicado: (2011)

Microarray-based ultra-high resolution discovery of genomic deletion mutations
por: Belfield, Eric J, et al.
Publicado: (2014)

Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes
por: Srinivasulu, Yerukala Sathipati, et al.
Publicado: (2015)

Development of reverse phase protein microarrays for the validation of clusterin, a mid-abundant blood biomarker
por: Aguilar-Mahecha, Adriana, et al.
Publicado: (2009)

Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
por: Liu, Hua, et al.
Publicado: (2005)

Design of microarray probes for virus identification and detection of emerging viruses at the genus level
por: Chou, Cheng-Chung, et al.
Publicado: (2006)

Integrating Diverse Information to Gain More Insight into Microarray Analysis
por: Loganantharaj, Raja, et al.
Publicado: (2009)

The impact of sample storage time on estimates of association in biomarker discovery studies
por: Kugler, Karl G, et al.
Publicado: (2011)

A Standardized and Reproducible Urine Preparation Protocol for Cancer Biomarkers Discovery
por: Beretov, Julia, et al.
Publicado: (2014)

Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery
por: Guan, Xin, et al.
Publicado: (2020)

Application of protein lysate microarrays to molecular marker verification and quantification
por: Ramaswamy, Anitha, et al.
Publicado: (2005)

Independent component analysis of Alzheimer's DNA microarray gene expression data
por: Kong, Wei, et al.
Publicado: (2009)

Selection of DDX5 as a novel internal control for Q-RT-PCR from microarray data using a block bootstrap re-sampling scheme
por: Su, Li-Jen, et al.
Publicado: (2007)

StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens
por: Charoenkwan, Phasit, et al.
Publicado: (2023)

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

Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
por: Jain, Nitin, et al.
Publicado: (2005)

The prediction of interferon treatment effects based on time series microarray gene expression profiles
por: Huang, Tao, et al.
Publicado: (2008)

Application of Lectin Microarrays for Biomarker Discovery
por: Dang, Kai, et al.
Publicado: (2020)

Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery
por: Crabtree, Nathaniel M., et al.
Publicado: (2017)

An alternative high output tissue microarray technique
por: Shi, Yuan, et al.
Publicado: (2013)

Regularized gene selection in cancer microarray meta-analysis
por: Ma, Shuangge, et al.
Publicado: (2009)

Noninvasive prenatal diagnosis of fetal aneuploidy by circulating fetal nucleated red blood cells and extravillous trophoblasts using silicon-based nanostructured microfluidics
por: Huang, Chung-Er, et al.
Publicado: (2017)

iPMI: Machine Learning-Aided Identification of Parametrial Invasion in Women with Early-Stage Cervical Cancer
por: Charoenkwan, Phasit, et al.
Publicado: (2021)

DeepThal: A Deep Learning-Based Framework for the Large-Scale Prediction of the α(+)-Thalassemia Trait Using Red Blood Cell Parameters
por: Phirom, Krittaya, et al.
Publicado: (2022)

Evaluation of a microarray-hybridization based method applicable for discovery of single nucleotide polymorphisms (SNPs) in the Pseudomonas aeruginosa genome
por: Dötsch, Andreas, et al.
Publicado: (2009)

Supervised group Lasso with applications to microarray data analysis
por: Ma, Shuangge, et al.
Publicado: (2007)

TMAinspiration: Decode Interdependencies in Multifactorial Tissue Microarray Data
por: Boecker, Florian, et al.
Publicado: (2016)

Prognostic Estimator of Survival for Patients with Localized and Extended Pancreatic Ductal Adenocarcinoma
por: Gleason, Michael X., et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_h2nnqus7jeevqumpp35pk97rab