JMP Genomics Starter

JMP Genomics Starter
Click on a category to reveal subcategories and processes. Refer to the table below for guidance.
Adding, managing, renaming, combining, and deleting studies. A study is a construct that helps you organize and track the data sets and settings associated with a particular study or project. See the Studies page for more information.
All data sets of the same type (for example, wide ) per study must be found in the same folder.
Running and building workflows . A workflow is a sequence of processes to run in a specific order -- an analytical pipeline. Once built, a workflow can be repeatedly called, eliminating the need to repeatedly set parameters for each of the individual processes. See the Workflows page for more information.
Quality assessment, normalization , modeling, manipulation, and submission of expression data.
Tip : Explore data quality and evaluate the need for normalization before using these processes.
Construction of continuous or categorical outcome predictors using data from genetic markers, microarrays , or proteomics as predictor variables . Model comparison and data preparation utilities are also available.
Viewing, adjusting, and combining p-values in preparation for more detailed analyses.

Following the import of data (an Experimental Design File (EDF) is sometimes required), Tall and Wide Data Sets (which are SAS Data Sets ) are the most common primary Input Data Set s required throughout JMP Genomics. Less common are stacked , square , and other specialized varieties. (See Other Types of Data Sets .) In many cases, an additional Experimental Design Data Set (EDDS) , Annotation Data Set , or settings file is either specifiable or required. See Data Sets Used in JMP Genomics Processes and the documentation for individual processes for additional information.