J Biomed Inform - Selection of interdependent genes via dynamic relevance analysis for cancer diagnosis.

Tópicos

{ model(2656) set(1616) predict(1553) }
{ gene(2352) biolog(1181) express(1162) }
{ featur(3375) classif(2383) classifi(1994) }
{ method(1557) propos(1049) approach(1037) }
{ case(1353) use(1143) diagnosi(1136) }
{ import(1318) role(1303) understand(862) }
{ perform(1367) use(1326) method(1137) }
{ clinic(1479) use(1117) guidelin(835) }
{ data(2317) use(1299) case(1017) }
{ cancer(2502) breast(956) screen(824) }
{ result(1111) use(1088) new(759) }
{ imag(1057) registr(996) error(939) }
{ network(2748) neural(1063) input(814) }
{ studi(2440) review(1878) systemat(933) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ group(2977) signific(1463) compar(1072) }
{ can(981) present(881) function(850) }
{ structur(1116) can(940) graph(676) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ bind(1733) structur(1185) ligand(1036) }
{ treatment(1704) effect(941) patient(846) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ featur(1941) imag(1645) propos(1176) }
{ howev(809) still(633) remain(590) }
{ risk(3053) factor(974) diseas(938) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ signal(2180) analysi(812) frequenc(800) }
{ analysi(2126) use(1163) compon(1037) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ survey(1388) particip(1329) question(1065) }
{ detect(2391) sensit(1101) algorithm(908) }
{ model(3404) distribut(989) bayesian(671) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ sequenc(1873) structur(1644) protein(1328) }
{ method(1219) similar(1157) match(930) }
{ imag(2830) propos(1344) filter(1198) }
{ imag(2675) segment(2577) method(1081) }
{ patient(2315) diseas(1263) diabet(1191) }
{ take(945) account(800) differ(722) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ care(1570) inform(1187) nurs(1089) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ perform(999) metric(946) measur(919) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ health(1844) social(1437) communiti(874) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

Microarray analysis is widely accepted for human cancer diagnosis and classification. However the high dimensionality of microarray data poses a great challenge to classification. Gene selection plays a key role in identifying salient genes from thousands of genes in microarray data that can directly contribute to the symptom of disease. Although various excellent selection methods are currently available, one common problem of these methods is that genes which have strong discriminatory power as a group but are weak as individuals will be discarded. In this paper, a new gene selection method is proposed for cancer diagnosis and classification by retaining useful intrinsic groups of interdependent genes. The primary characteristic of this method is that the relevance between each gene and target will be dynamically updated when a new gene is selected. The effectiveness of our method is validated by experiments on six publicly available microarray data sets. Experimental results show that the classification performance and enrichment score achieved by our proposed method is better than those of other selection methods.

Resumo Limpo

microarray analysi wide accept human cancer diagnosi classif howev high dimension microarray data pose great challeng classif gene select play key role identifi salient gene thousand gene microarray data can direct contribut symptom diseas although various excel select method current avail one common problem method gene strong discriminatori power group weak individu will discard paper new gene select method propos cancer diagnosi classif retain use intrins group interdepend gene primari characterist method relev gene target will dynam updat new gene select effect method valid experi six public avail microarray data set experiment result show classif perform enrich score achiev propos method better select method

Resumos Similares

Artif Intell Med - Cancer survival classification using integrated data sets and intermediate information. ( 0,727255628709043 )
J Integr Bioinform - Classification of breast cancer subtypes by combining gene expression and DNA methylation data. ( 0,720732688540133 )
J Biomed Inform - A two step method to identify clinical outcome relevant genes with microarray data. ( 0,706765605965338 )
AMIA Annu Symp Proc - Effect of data combination on predictive modeling: a study using gene expression data. ( 0,683427088172464 )
J. Comput. Biol. - Biomarker discovery using statistically significant gene sets. ( 0,681986969066587 )
Comput Methods Programs Biomed - TC-VGC: a tumor classification system using variations in genes' correlation. ( 0,679890559324376 )
J Integr Bioinform - Comparison and integration of target prediction algorithms for microRNA studies. ( 0,673942572628549 )
Sci Data - Comprehensive RNA-Seq transcriptomic profiling across 11 organs, 4 ages, and 2 sexes of Fischer 344 rats. ( 0,672137434937732 )
J Chem Inf Model - Beyond the scope of Free-Wilson analysis: building interpretable QSAR models with machine learning algorithms. ( 0,665512264646162 )
J Chem Inf Model - Classifier ensemble based on feature selection and diversity measures for predicting the affinity of A(2B) adenosine receptor antagonists. ( 0,654204626609588 )
J Chem Inf Model - Oversampling to overcome overfitting: exploring the relationship between data set composition, molecular descriptors, and predictive modeling methods. ( 0,651599908245871 )
J Biomed Inform - An efficient statistical feature selection approach for classification of gene expression data. ( 0,65040552467813 )
J Integr Bioinform - Using variable precision rough set for selection and classification of biological knowledge integrated in DNA gene expression. ( 0,648504438979111 )
Comput Biol Chem - Prediction of white cabbage (Brassica oleracea var. capitata) self-incompatibility based on neural network and discriminant analysis of complex electrophoretic patterns. ( 0,646861222165786 )
J. Comput. Biol. - A hybrid BPSO-CGA approach for gene selection and classification of microarray data. ( 0,644390760472446 )
Brief. Bioinformatics - An empirical assessment of validation practices for molecular classifiers. ( 0,638990745142242 )
Artif Intell Med - Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. ( 0,636180966155756 )
Comput. Biol. Med. - Decision forest for classification of gene expression data. ( 0,632713835304414 )
J Chem Inf Model - Using molecular features of xenobiotics to predict hepatic gene expression response. ( 0,632646834186912 )
Comput Methods Programs Biomed - Ensemble transcript interaction networks: a case study on Alzheimer's disease. ( 0,629857192847863 )
J Am Med Inform Assoc - Choosing blindly but wisely: differentially private solicitation of DNA datasets for disease marker discovery. ( 0,629365161896215 )
Comput. Biol. Med. - Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data. ( 0,628879743005111 )
J Biomed Inform - Autism candidate genes via mouse phenomics. ( 0,62622429108515 )
Comput. Biol. Med. - Extracting predictive SNPs in Crohn's disease using a vacillating genetic algorithm and a neural classifier in case-control association studies. ( 0,624698751151914 )
Brief. Bioinformatics - A dynamic framework for quantifying the genetic architecture of phenotypic plasticity. ( 0,62462473728229 )
Comput. Biol. Med. - An ensemble of SVM classifiers based on gene pairs. ( 0,622294866088532 )
Artif Intell Med - Fuzzy model identification of dengue epidemic in Colombia based on multiresolution analysis. ( 0,614995729706089 )
Comput Biol Chem - Sparse regularized discriminant analysis with application to microarrays. ( 0,614727227418918 )
Comput. Biol. Med. - A prediction model of substrates and non-substrates of breast cancer resistance protein (BCRP) developed by GA-CG-SVM method. ( 0,613465864294939 )
J Chem Inf Model - Study of chromatographic retention of natural terpenoids by chemoinformatic tools. ( 0,611712541989818 )
Med Biol Eng Comput - Application of the RIMARC algorithm to a large data set of action potentials and clinical parameters for risk prediction of atrial fibrillation. ( 0,609436289034985 )
J Am Med Inform Assoc - Harvest: an open platform for developing web-based biomedical data discovery and reporting applications. ( 0,609198419065085 )
J Chem Inf Model - Ligand and structure-based classification models for prediction of P-glycoprotein inhibitors. ( 0,609095269615219 )
J Med Syst - Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons. ( 0,608072683266352 )
J Am Med Inform Assoc - Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction. ( 0,606717024986351 )
IEEE J Biomed Health Inform - Exploring robust diagnostic signatures for cutaneous melanoma utilizing genetic and imaging data. ( 0,603625299144134 )
Comput. Biol. Med. - Gene expression data classification using locally linear discriminant embedding. ( 0,602721777942872 )
Comput Biol Chem - Predicting essential genes for identifying potential drug targets in Aspergillus fumigatus. ( 0,602464176583398 )
Comput. Biol. Med. - A hybrid feature selection method for DNA microarray data. ( 0,600174982209865 )
J Chem Inf Model - In silico prediction of chemical Ames mutagenicity. ( 0,600022858449063 )
Comput. Biol. Med. - Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification. ( 0,599041775176476 )
J. Comput. Biol. - Algorithms for MDC-based multi-locus phylogeny inference: beyond rooted binary gene trees on single alleles. ( 0,59643371194788 )
J Biomed Inform - Gene pathways and subnetworks distinguish between major glioma subtypes and elucidate potential underlying biology. ( 0,596191012563692 )
Methods Inf Med - Multi-class HingeBoost. Method and application to the classification of cancer types using gene expression data. ( 0,595854023068337 )
Comput. Biol. Med. - Computerized system for recognition of autism on the basis of gene expression microarray data. ( 0,595843612258539 )
J Biomed Inform - A simulation to analyze feature selection methods utilizing gene ontology for gene expression classification. ( 0,594493765145111 )
Brief. Bioinformatics - A case-control design for testing and estimating epigenetic effects on complex diseases. ( 0,593302697170871 )
Comput Biol Chem - A computational method of predicting regulatory interactions in Arabidopsis based on gene expression data and sequence information. ( 0,592799907503625 )
J Chem Inf Model - Binary classification of aqueous solubility using support vector machines with reduction and recombination feature selection. ( 0,592523072404163 )
J Biomed Inform - Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease. ( 0,591196888759123 )
Methods Inf Med - Correlation-based gene selection and classification using Taguchi-BPSO. ( 0,590424101615375 )
J Chem Inf Model - Pre-processing feature selection for improved C&RT models for oral absorption. ( 0,590237835688502 )
Brief. Bioinformatics - Exon array data analysis using Affymetrix power tools and R statistical software. ( 0,588767703736869 )
Artif Intell Med - Classification of cancer cell death with spectral dimensionality reduction and generalized eigenvalues. ( 0,587505833683312 )
Artif Intell Med - Identifying a small set of marker genes using minimum expected cost of misclassification. ( 0,586632822878175 )
Brief. Bioinformatics - Extracting reaction networks from databases-opening Pandora's box. ( 0,581878952502453 )
Comput Math Methods Med - Recursive feature selection with significant variables of support vectors. ( 0,578734804197428 )
J Am Med Inform Assoc - 'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine. ( 0,577959251166035 )
Methods Inf Med - Supporting regenerative medicine by integrative dimensionality reduction. ( 0,577156828396933 )
J Chem Inf Model - Choosing feature selection and learning algorithms in QSAR. ( 0,575345998424264 )
Comput Math Methods Med - SNP selection in genome-wide association studies via penalized support vector machine with MAX test. ( 0,574653930954183 )
J Chem Inf Model - Time-split cross-validation as a method for estimating the goodness of prospective prediction. ( 0,574527723071605 )
Comput Biol Chem - Bioinformatic analysis of molecular network of glucosinolate biosynthesis. ( 0,574159653980535 )
Int J Comput Assist Radiol Surg - Brain tumor classification on intraoperative contrast-enhanced ultrasound. ( 0,5738256076355 )
Med Biol Eng Comput - Validating motor unit firing patterns extracted by EMG signal decomposition. ( 0,573554003014016 )
J Chem Inf Model - RS-Predictor models augmented with SMARTCyp reactivities: robust metabolic regioselectivity predictions for nine CYP isozymes. ( 0,572943098074806 )
Brief. Bioinformatics - Toward microRNA-mediated gene regulatory networks in plants. ( 0,572590399687641 )
Comput. Biol. Med. - Impact of TGF-b on breast cancer from a quantitative proteomic analysis. ( 0,572266583954234 )
J Biomed Inform - A fast gene selection method for multi-cancer classification using multiple support vector data description. ( 0,572226293694607 )
J Biomed Inform - Mining microarray data to predict the histological grade of a breast cancer. ( 0,571936969770739 )
AMIA Annu Symp Proc - Selecting cases for whom additional tests can improve prognostication. ( 0,5716312257928 )
Comput. Biol. Med. - Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval. ( 0,571272450510009 )
AMIA Annu Symp Proc - Towards mechanism classifiers: expression-anchored Gene Ontology signature predicts clinical outcome in lung adenocarcinoma patients. ( 0,570975556357078 )
Comput. Biol. Med. - A method of tumor classification based on wavelet packet transforms and neighborhood rough set. ( 0,570094360919075 )
Artif Intell Med - Self-focusing therapeutic gene delivery with intelligent gene vector swarms: intra-swarm signalling through receptor transgene expression in targeted cells. ( 0,569903902529831 )
J. Comput. Biol. - An efficient data assimilation schema for restoration and extension of gene regulatory networks using time-course observation data. ( 0,568890498254318 )
J. Comput. Biol. - Inferring mechanisms of compensation from E-MAP and SGA data using local search algorithms for max cut. ( 0,567480021969845 )
BMC Med Inform Decis Mak - Regression tree construction by bootstrap: model search for DRG-systems applied to Austrian health-data. ( 0,565242746951823 )
J Integr Bioinform - A new approach for modelling gene regulatory networks using fuzzy petri nets. ( 0,564761270768949 )
Neural Comput - High-dimensional cluster analysis with the masked EM algorithm. ( 0,562722315126108 )
Comput. Biol. Med. - An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. ( 0,562423226661146 )
J Chem Inf Model - Estimation of carcinogenicity using molecular fragments tree. ( 0,56194426628886 )
Wiley Interdiscip Rev Syst Biol Med - Using a systems biology approach to understand and study the mechanisms of metastasis. ( 0,561364031017361 )
Comput. Biol. Med. - In silico prediction of spleen tyrosine kinase inhibitors using machine learning approaches and an optimized molecular descriptor subset generated by recursive feature elimination method. ( 0,560432876447841 )
J Chem Inf Model - Prediction of linear cationic antimicrobial peptides based on characteristics responsible for their interaction with the membranes. ( 0,560216748378074 )
Comput. Biol. Med. - Revealing pathway maps of renal cell carcinoma by gene expression change. ( 0,560168657093361 )
Comput Biol Chem - Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes. ( 0,559440498649615 )
J Biomed Inform - Selecting significant genes by randomization test for cancer classification using gene expression data. ( 0,557774286211681 )
Artif Intell Med - Detecting disease genes based on semi-supervised learning and protein-protein interaction networks. ( 0,557660998873602 )
J Chem Inf Model - GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug design. ( 0,557531093555081 )
Comput Methods Programs Biomed - Connecting high-dimensional mRNA and miRNA expression data for binary medical classification problems. ( 0,556738492771516 )
J Biomed Inform - MysiRNA: improving siRNA efficacy prediction using a machine-learning model combining multi-tools and whole stacking energy (G). ( 0,555001220896104 )
Comput. Biol. Med. - Identification and analysis of the regulatory network of Myc and microRNAs from high-throughput experimental data. ( 0,554524883827717 )
Methods Inf Med - High-content analysis in monastrol suppressor screens. A neural network-based classification approach. ( 0,554295102802676 )
J Chem Inf Model - Applicability domain based on ensemble learning in classification and regression analyses. ( 0,553623229429283 )
Comput Methods Programs Biomed - Kinetic modelling of haemodialysis removal of myoglobin in rhabdomyolysis patients. ( 0,552048797093854 )
AMIA Annu Symp Proc - Predicting discharge mortality after acute ischemic stroke using balanced data. ( 0,552037113709796 )
Artif Intell Med - Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival. ( 0,55186965604528 )
J Chem Inf Model - Three useful dimensions for domain applicability in QSAR models using random forest. ( 0,549557170560533 )
AMIA Annu Symp Proc - Motivating the additional use of external validity: examining transportability in a model of glioblastoma multiforme. ( 0,548806894154365 )