Your English writing platform
Free sign upSuggestions(4)
Exact(2)
The 192 microarray experiments collected had previously been published elsewhere [ 6– 8, 53– 64].
Hibbs et al. (2007) compiled 2394 yeast microarray experiments, collected from 81 different publications, and TransfactomeDB (Foat et al. 2008) similarly cataloged ∼4000 yeast microarray experiments from the Gene Expression Omnibus (GEO) database (Barrett et al. 2011).
Similar(57)
In the second, while microarray experiments collect an increasing amount of data to be correlated, the network reconstruction is an NP-hard problem.
CWW designed the microarray experiment, collected the samples and obtained the microarray data.
AKS reared the animals associated with the microarray experiment, collected tissue, and extracted RNA.
Culture samples for microarray experiments were collected at exponential, transition, and stationary phases.
Gene expression data of 795 genes related to isoprenoid pathways from 118 microarray experiments were collected (Wille et al. 2004).
For the first set of microarray experiments, samples collected on eleven days with similar weather conditions were selected (June 1, June 15, June 29, July 6, July 18, July 27, August 3, August 11, August 18, August 29, September 12).
CB, LT, ARa devised the study and participated in its design and coordination; FZ conducted the microarray experiments; ARi collected fruit material, measured seed development parameters and performed the validation of microarray data by qRT-PCR; AT performed the validation of microarray data by qRT-PCR; CB, LT, AB, VZ and ARa analyzed the data; CB, AB, LT, ARa and GC wrote the paper.
The sequences of differentially expressed genes identified by the microarray experiments were collected from NCBI GeneBank [ 39] and compared them to known sequences from Cotton Gene Index [ 40] using the Basic Local Alignment Search Tool (BLAST) to determine if there was any significant homology to known gene products.
Microarray experiments typically collect expression data on thousands of genes and the high dimensionality of the data impose statistical challenges.
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