JMPer Cable Blog

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• Simple linear regression

        Ever been confused when someone said that an ANOVA is the same thing as Regression?  Or felt resentment towards the math teacher who told you that you'd use slope-intercept form one day?Well get ready to send a huge box of chocolate to your old Algebra teacher, because Y = mx + b is back, baby. Or rather, it never left.

  Chelsea-Parlett

  JMPer Cable Blog |

  Jul 11, 2019 2:40 PM

  22288 views | 3 replies
  

• Expression Analysis with JMP Genomics, Part 2: Importing Expression Data from Text Files

  In last week’s blog post, we created an Experimental Design File (EDF) using JMP Genomics for a set of gene expression files corresponding to 18 different experimental groups. Now that the experimental design is organized into a SAS data set, the data files (in txt format) can be imported and concatenated into a single table using the Import a Designed Experiment from Text, CSV, or Excel Files too...

  Daniel_Genung

  JMPer Cable Blog |

  Jul 5, 2019 12:03 PM

  4813 views | 0 replies
  

• 如何運用JMP進行可靠度(Reliability)分析

  合理應用可靠度分析，可以幫助研發、工程、品質等部門的技術人員提高產品品質的穩定性，降低產品全壽命週期費用和售後服務成本，改善顧客的滿意度和忠誠度。

  Ritalv

  JMPer Cable Blog |

  Jul 2, 2019 6:44 PM

  7180 views | 0 replies
  

• Expression Analysis with JMP Genomics

  JMP Genomics is a specialized yet broad tool for analyzing genetic, genomic and other “-omic” data. Whether it's expression analysis, GWAS, predictive modeling, or plant breeding, JMP Genomics has a tool to meet the need.

  Daniel_Genung

  JMPer Cable Blog |

  Jul 2, 2019 2:09 PM

  5407 views | 2 replies
  

• JMP確定性篩選實驗設計（DSD）在生物製藥製程特性研究中的應用

  近年來，隨著藥品審評審批制度的改革和完善，新藥獲批的數量增多，速度加快，也給生物製藥企業帶來新的挑戰，即如何迅速將複雜的生物製藥生產製程從小試放大到生產，建立可靠穩定的生產控制策略，持續生產出安全有效的藥品。

  Ritalv

  JMPer Cable Blog |

  Jun 26, 2019 7:40 PM

  3919 views | 0 replies
  

• Genetic Association with JMP Genomics

  JMP Genomics is a specialized yet broad tool for analyzing genetic, genomic and other “-omic” data. Whether it's expression analysis, GWAS, predictive modeling, or plant breeding, JMP Genomics has a tool to meet the need. This blog series (the first in a set of four series) will handle genetic association beginning with the data import and continuing through several analytical pipelines.

  Daniel_Genung

  JMPer Cable Blog |

  Jun 26, 2019 7:50 AM

  7575 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 6: SNP-Trait Association

  JMP Genomics has an array of tools to associate genetic variants with traits. One of the most straightforward of these tools is SNP-Trait Association. By performing this analysis, you can quickly identify significant markers for multiple categorical or quantifiable traits. In this example, we explore ~22,000 markers for histiocytic sarcomas (tumors) in a sample of 474 Bernese Mountain Dogs. The ph...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 24, 2019 2:17 PM

  9742 views | 10 replies
  

• 汽車業品質分析提升工具

  汽車行業必須具備“生產一致性產品的品質的能力”，也就是要減少生產過程中產品性能的變異。因為它可能牽涉到生產中的很多因素。我們必須思考生產中的變異到底是由哪些原因造成，每個原因所產生的變異在總變異中又佔有多大的比例？才能更進一步針對變異來源去作分析。這就是我們在品質管制中所說的變異來源分析（Source of Variation）， 它所用到的主要統計工具就是“變異數分析（Analysis Of Variance）”和更深入的“變異數分量（Variance Component）”。經由JMP軟體的操作，工程技術人員不需要深入學習這些相對複雜的數學原理，而且可以很快地找出變異並完成分析報告。下面用一個更加具體的案例來加以說明。

  Ritalv

  JMPer Cable Blog |

  Jun 21, 2019 12:17 AM

  2639 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 5: QTL Single Marker Analysis

  The QTL Single Marker Analysis tool in JMP Genomics performs a simple regression to correlate quantitative traits with markers within a genome. This tool is a great way to scan an entire set of markers and quickly identify loci of interest for a trait. In this example we will analyze 90 recombinant inbred lines of oat for their mean differential scanning calorimetry (DSC). Note that the two data s...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 18, 2019 1:42 PM

  5249 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 4: Basic Linkage Mapping

  The Basic Linkage Mapping Workflow in JMP Genomics creates linkage maps using genetic marker data. The workflow includes output from the Recombination and Linkage Groups, Linkage Map Order, and Linkage Map Viewer. This includes calculation of recombination frequencies, testing for segregation distortion, assigning linkage groups to sets of markers, generating visualized linkage maps, and reorderin...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 18, 2019 1:01 PM

  5415 views | 0 replies
  

• Why statistics is essential

  Most people don't realize how essential statistics is. Daily life is surrounded by the products of statistics -- like toothpaste.        

  John_Sall

  JMPer Cable Blog |

  Jun 17, 2019 2:45 PM

  24876 views | 3 replies
  

• Saving graphs, tables and reports in JMP

  Saving and sharing your output from JMP is easy. Here are some simple ways to save both tabular output and/or graphs in JMP.

  MaryLoveless

  JMPer Cable Blog |

  Jun 14, 2019 5:41 AM

  99361 views | 19 replies
  

• How to make Harvey Balls in JMP in 3 ways

  OK, let's get something out of the way right from the start. There are so many jokes... so very many jokes... that I could make about this topic. But, I'm not going to make them. I'm going to take the high road. Not because I want to, if you've read any of my other articles, you'll know I revel in wordplay and corny jokes. No, I'm going to take the high road because I'm reasonably sure my editors ...

  MikeD_Anderson

  JMPer Cable Blog |

  Jun 13, 2019 12:04 PM

  9775 views | 1 replies
  

• “The Fashion of JMP” – Advanced JMP graph building with Marimekko and BarMekko

  Would you be surprised to find out that the fashion industry has had a big influence on the world of graphing? Learn the story, value and steps to create the stylish Marimekko (mosaic plot) and BarMekko (variable width bar chart).  

  scwise

  JMPer Cable Blog |

  Jun 13, 2019 10:08 AM

  4826 views | 1 replies
  

• Genetic Association with JMP Genomics, Part 1: Importing and Cleaning Data

  In the Genetic Association with JMP Genomics series, we will discover numerous methods for associating genetic markers with traits of interest. Before starting any analyses, we need to import and clean our data. In this guide, we download a data set from GEO, bring it into JMP, and transform it into an ideal form for analysis. In this example, we explore ~22,000 genetic markers in a sample of 474 ...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 13, 2019 7:54 AM

  6011 views | 2 replies
  

• Genetic Association with JMP Genomics, Part 2: Basic Genetics Workflow (Case-Control)

  JMP Genomics has analytical pipelines or Workflows to perform a series of analyses on a data set. The Basic Genetics Workflow is a quick and easy method for gaining a deeper understanding of your data before beginning a more in-depth analysis. This workflow recodes marker data to a numeric format, imputes missing genotypic data, and creates data subsets based on minor allele frequency (MAF), missi...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 12, 2019 9:24 AM

  5617 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 3a: Marker Based Relationship Matrix

  In JMP Genomics, the Relationship Matrix analysis is used for computing and displaying relatedness among lines. The Relationship Matrix tool estimates the relationships among the lines using marker data, rather than pedigree information (Kinship Matrix tool), and computes the relationship measures directly while also accounting for selection and genetic drift. The Relationship Matrix computes one ...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 12, 2019 9:21 AM

  7002 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 3b: Population Structure Matrix

  Population structure is genetic similarity across large groups of individuals or lines. In preparation for association mapping, population structure should be assessed. Like familial relatedness, population structure can be incorporated into an association mapping analysis. In QK association analysis, population structure is modeled with a Q matrix, and familial relatedness is modeled with a K mat...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 12, 2019 9:18 AM

  6299 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 3c: Q-K Mixed Model

  Q-K association analysis was developed to perform association mapping while controlling for population structure and/or familial relatedness. The “Q-K” in this name refers to the two kinds of information that get included in the model. The Q matrix contains information about population structure (See Part 3b: Population Structure Matrix). The K matrix contains more fine-grained information about r...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 12, 2019 9:17 AM

  7310 views | 0 replies
  

• Genetic Association with JMP Genomics, Part 3d: Q-K Mixed Model Workflow for Genetic Association

  There two ways to run a Q-K analysis in JMP Genomics. One example uses the Q-K Mixed Model process, which was outlined in the Genetic Association with JMP Genomics, Part 3c: Q-K Mixed Model, and is a general tool that has a great deal of flexibility, but requires you to construct the input data set yourself. A simpler option is the Genetics Q-K Analysis Workflow, which performs all the steps for t...

  Daniel_Genung

  JMPer Cable Blog |

  Jun 12, 2019 9:16 AM

  5009 views | 0 replies