microarray data造句
例句與造句
- rm a time series analysis of microarray data
-時(shí)間類型的微陣列數(shù)據(jù)集。 - 18 levine e, getz g, domany e . coupled two-way clustering analysis of gene microarray data . in proc
因此，從生物學(xué)的角度看，有必要將正負(fù)共調(diào)控基因聚集到同一類中。 - to correlate microarray data with the promoter site consensus sequence for a specific transcription factor
找出微陣列資料與特定轉(zhuǎn)錄因子的促進(jìn)子共識序列之間的相互關(guān)聯(lián)性。 - given a microarray data set, articulate all the sources of error in measurement and find them in the particular data set
給出一個(gè)微陣列的數(shù)據(jù)組，標(biāo)示出測定中的錯(cuò)誤的所有來源，并在特定資料組中找出它們。 - given a microarray data set, articulate all the sources of error in measurement and find them in the particular data set
給出一個(gè)微陣列的數(shù)據(jù)組，標(biāo)示出測定中的錯(cuò)誤的所有來源，并在特定數(shù)據(jù)組中找出它們。 - It's difficult to find microarray data in a sentence. 用microarray data造句挺難的
- 2 . monte carlo simulations are conducted to study the presented method for microarray data analysis based on mixed linear model approach
對新提出的基于混合線性模型分析dna芯片數(shù)據(jù)的方法用蒙特卡羅模擬進(jìn)行了驗(yàn)證。 - at the same time, considering of the character of the gene microarray data, a new machine learning algorithm, boosting is introduced
同時(shí)，根據(jù)基因微陣列數(shù)據(jù)的特點(diǎn)：極少樣本超高維，本文引入了一個(gè)新的統(tǒng)計(jì)機(jī)器學(xué)習(xí)算法boosting。 - results sixteen genes that correlated with survival among patients with nsclc were identified by analyzing microarray data and risk scores
結(jié)果：通過對微點(diǎn)陣數(shù)據(jù)和風(fēng)險(xiǎn)評分的分析，16個(gè)與非小細(xì)胞肺癌患者的存活率有相關(guān)性的基因被鑒別出來。 - pochet, n ., et al . " systematic benchmarking of microarray data classification : assessing the role of nonlinearity and dimensionality reduction . " bioinformatics, 2004
基因芯片數(shù)據(jù)分類的系統(tǒng)基準(zhǔn)：評估非線性和維度的縮減?！渡镄畔W(xué)》,2004年。 - in this thesis, ai applications are developed and used to analyze biological sequence and microarray data, with the following points of innovation that can be summed up : 1
本文主要在算法創(chuàng)新和計(jì)算智能技術(shù)在生物信息學(xué)上的實(shí)際應(yīng)用兩方面做了以下工作：1 - we validated the model with data from an independent cohort of 60 patients with nsclc and with a set of published microarray data from 86 patients with nsclc
我們已用一個(gè)獨(dú)立隊(duì)列研究（包含60位非小細(xì)胞肺癌患者）得到的數(shù)據(jù)和一組來自86位非小細(xì)胞肺癌患者的已發(fā)表的微點(diǎn)陣數(shù)據(jù)驗(yàn)證了這個(gè)模型。 - a general genetic model for microarray data is developed, which includes effects of gene, array, dye, treatment and interaction of gene array, gene dye, and gene treatment
提出了分析芯片數(shù)據(jù)的一般模型，其中包括了基因、陣列效應(yīng)、染料、處理效應(yīng)以及基因陣列、基因染料、基因處理互作效應(yīng)。 - therefore, instead of the traditional biomedicine methods, the partial independent component analysis ( pica ) is proposed in this paper to do the partial volume correction for getting the pure microarray data
因此，本文提出用部分獨(dú)立分量分析方法代替?zhèn)鹘y(tǒng)的生物醫(yī)學(xué)方法進(jìn)行基因的部分體積修正從而獲得真正感興趣的微陣列數(shù)據(jù)。 - but, because of the partial volume effect of the organism, directly processing of the gene microarray data will make that the characters extracted are not those of the biology genes, which will reduce the measurement sensitivity of the gene features
但是，機(jī)體組織所具有的部分體積效應(yīng)，使得對基因微陣列數(shù)據(jù)的直接處理將造成所提取特征不是真正的生物基因特征本身，嚴(yán)重降低基因特征測量的靈敏度和指向性。
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