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We show that CTen, when applied to microarray data developed from infected lung tissue, can correctly identify the cell signatures of key lymphocytes in a highly heterogeneous environment and compare its performance to another popular bioinformatics tool.
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METHODS: Using in vitro drug sensitivity data, coupled with microarray data, we developed gene expression signatures predicting sensitivity to cisplatin and pemetrexed.
Most current statistical and data mining methods for aCGH data were developed from expression microarray analysis.
In this study, we used in vitro drug sensitivity data from the NCI-60 cell lines together with their Affymetrix microarray data to develop a gene expression signature to predict sensitivity to oxaliplatin.
In recent years, a wide variety of methods to reverse-engineer transcriptional regulatory networks from microarray data have been developed.
130 Many studies have adapted pathway analysis tools from microarray data analysis and developed new tools applicable to RNA-seq data.
In order to explore these data to the maximum, a myriad of methods to reverse-engineer or reconstruct transcriptional regulatory networks from microarray data have been developed in the past few years.
Although triPOD was developed for microarray data from the Illumina platform, automated adjustments for sample-specific levels of quality and variation allow for application to other platforms from which SNP-specific genotypes, allelic ratios, and copy number data can be derived.
Our conversion procedure should also be applicable to linear classifiers developed from microarray data.
Of note, all of the HRneg prognostic indices described to date were developed using expression microarray data from fresh/frozen tumor-extracted RNA.
We developed a parity signature by analyzing microRNA microarray data from 130 reduction mammoplasty (RM) patients (54 nulliparous and 76 parous).
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