Comput. Biol. Med. - CAM: a web tool for combining array CGH and microarray gene expression data from multiple samples.

Tópicos

{ gene(2352) biolog(1181) express(1162) }
{ method(1969) cluster(1462) data(1082) }
{ visual(1396) interact(850) tool(830) }
{ use(1733) differ(960) four(931) }
{ data(3008) multipl(1320) sourc(1022) }
{ data(1737) use(1416) pattern(1282) }
{ cost(1906) reduc(1198) effect(832) }
{ intervent(3218) particip(2042) group(1664) }
{ use(976) code(926) identifi(902) }
{ framework(1458) process(801) describ(734) }
{ learn(2355) train(1041) set(1003) }
{ import(1318) role(1303) understand(862) }
{ cancer(2502) breast(956) screen(824) }
{ network(2748) neural(1063) input(814) }
{ featur(1941) imag(1645) propos(1176) }
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{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
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{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ first(2504) two(1366) second(1323) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
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{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
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{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }

Resumo

We develop a web-based tool for Combining Array CGH copy number aberration data and Microarray gene expression data (CAM). This tool analyzes these two data sets from multiple samples to detect genes having both DNA copy number aberrations (CNAs) and gene expression changes. CAM provides several statistical methods for identifying CNAs, which are consistent across multiple samples. Identified CNAs and their correlated gene expression changes are then visualized along the chromosomes. As a result, CAM is a useful tool for identifying disease related genes when these two types of data sets are available. To illustrate the various analysis outputs of CAM, we subsequently provide ten sets of example data from seven cancer types.

Resumo Limpo

develop webbas tool combin array cgh copi number aberr data microarray gene express data cam tool analyz two data set multipl sampl detect gene dna copi number aberr cnas gene express chang cam provid sever statist method identifi cnas consist across multipl sampl identifi cnas correl gene express chang visual along chromosom result cam use tool identifi diseas relat gene two type data set avail illustr various analysi output cam subsequ provid ten set exampl data seven cancer type

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