The phrase "and split the data" is correct and usable in written English.
You can use it when discussing data processing, analysis, or manipulation, particularly in contexts involving dividing datasets for various purposes.
Example: "To improve the model's performance, we need to preprocess the information and split the data into training and testing sets."
Alternatives: "and divide the data" or "and partition the data".
We have added color, increased the size of the panels and split the data from T=0 and T=3 hours after Listeria infection into separate panels to help with visualization.
The tool finds all SSRs in the chickpea genome that match an input string and split the data for ease of interpretation resulting in a table with frequency of occurrence at individual iterations of the SSR.
A secondary analysis concentrated on the minimum lag period where increased risk was observed (18 days) and split the data into the subgroups; gender (male/female), and age (<80/≥80).
For the Wang expression data sets, we converted an original 22,284 probe ID's to 13,058 gene symbols using the Ailun package [ 26] and split the data set into two groups: one included 93 samples of cancers which metastasized within 5 years and the second included 183 samples of cancers which were not observed to metastasize within that time period.
To validate the results of the variously presented algorithms, the cross-validation was conducted prior to the permeability modeling by sampling and splitting the data into training and testing subsets.
We provide a separate tool called 'Halvade Uploader' which interleaves the paired-end reads, storing paired reads next to each other, and splits the data in chunks of ∼60 MB of compressed data.
Unsupervised hierarchical clustering of OCI in growing, senescent, and progeroid fibroblasts split the data into six classes, which show strong correlation with GC content.
As the RNFL measurements were performed by two different examiners (AL and GL), we split the data to reflect the potential for this to be an additional confounding variable.
This involves using existing utilities and cluster tools to split the data into chunks, process them on separate nodes, and merge the results afterwards.
To evaluate the influence of age on the relationship between PP and headache prevalence, we split the data in two, using the median PP value as cut-off, and plotted the prevalence of migraine and TTH versus age (Fig. 2).
To develop training and validation data-sets, we split the data for each stratum into training and validation data-sets, using random sampling methodology to ensure similar distribution of sex and body mass index (BMI) between both data sub-sets.
