Your English writing platform
Discover LudwigExact(12)
The vast majority of these sequences (99.78%, 463/464) were unmethylated in at least one of the NTTs analyzed (array signal<0.3 iNTTs6 NTTs).
To assess whether our observations hold true for astringent classification thresholds we reexamined our data in search of: i) sequences hypermethylated in most of the hESCs analyzed (array signal>0.7 in≥75% (6/8) of the hESCs) and, ii) sequences "fully methylated" in some of the hESCs analyzed (array signal>0.8) in≥25% (2/8) of the hESCs) (Table S2).
Most of the GEPs among the 16361 analyzed array features from arrays hybridized with brain tissue are highly and positively correlated with the GEPs derived from the arrays hybridized with non-brain tissues (Figure 6).
Particularly we analyzed array NA06985_Xba_B5_4000090 taken from the Mapping 100k HapMap Trio Dataset (100K_trios.xba.1.zincludingding library- and annotation information (probe sequences, fragment lengths and GC-content of the targets, GCOS-genotype calls).
Again, many of them (32.32%, 127/393) were unmethylated in at least one of the NTTs analyzed (array signal<0.3 in≥17% (1/6) NTTs) (Figure 1, and Tables 1 and S1).
ISC, FUT, and SSJ analyzed array data.
Similar(48)
Subsequently, an intensity filter, removing all the probe sets characterized by a signal >6.64 in less than 10% of the analyzed arrays, was applied.
First, we analyzed array-comparative genomic hybridization (aCGH) profiles of 209 neuroblastoma samples and compared the results with corresponding microarray gene expression data of the same tumors.
Next, we analyzed array-comparative genomic hybridization (array-CGH) profiles of 159 neuroblastoma samples and compared the results with corresponding microarray gene expression data of the same tumors.
Linear scaling of the feature level intensity values, using the trimmed mean, is the default to make the means equal for all analyzed arrays.
Feature Extraction Software (10.7.1.1, Agilent Technologies) was used to analyze array images to obtain raw data.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com