Qlucore is a software platform for the analysis of genomics, proteomics and related data. As with most statistical and genomics software, it generates an immediate graphic for most analyses. Its specific areas of use include gene expression, protein arrays, DNA methylation, miRNA, proteomics, and pattern and structure identification in multivariate data.
It should come as no surprise to readers of this column that JMP is a personal favorite and,...
This month’s review is a bit off of the usual track, e.g. statistical, mathematical and genomics...
This new version of the modeling software based upon the Maple mathematical system, the open-standard Modelica modeling language, and a number of highly advanced design algorithms, integrates a very pleasing number of major upgrades. It was specifically designed as an environment to create complex multi-domain physical systems and simulate their behavior
In the past, I have extolled STATISTICA 10 statistical software for its ability to cover just about any type of test the user may need. Now, the product line consists of bits and pieces of the whole for special applications and/or limited needs. The new Data Miner product contains all of the routine and advanced statistical tests, as well as a number of very sophisticated mining routines.
What’s so remarkable about it? Well, for one, it was originally geared to chemical engineers, but is now used by a wide spectrum of chemists. The package is remarkable for its choice of tools, namely experimental design (DOE) and multivariate statistics. It does a good job of both, and the developers have added many new features (this is NOT your father’s version 9.2!).
For those new to this software, perhaps a little background is in order. Maple is mathematical software that is constantly being improved as to breadth of the calculation routines, optimality of the algorithms, speed of computation, and ease-of-use. The last is one of the most useful features, as the new user can quickly come up to speed by testing the menu items, going through the tutorials and reading the pertinent sections of the manuals
It’s always refreshing to see the latest version of an old friend and, in this case, delve into capabilities that go far beyond the simple algebra and calculus where the editor usually turns to this software (also to shed light on a biological process). Mathematica has expanded into so many areas, that it long ago ceased to be software that merely does math.
he title refers to the editor’s angst at using most genomics software for gene expression (microarray) studies. I keep asking myself why they make it so hard. For those chemists, physicists and engineers in our readership not into pharmacogenomics, I specifically refer to the data acquisition phase.
SYSTAT has long been a staple of the linear models crowd and now gets more powerful with every version. The present version includes Exact tests, Monte Carlo simulations, and the ever popular (and becoming more so every day) quality analysis section
This latest version of Maplesoft’s drag-and-drop modeling tool has gone through very rapid development of late (as had Maple). This valuable engineering tool employs highly sophisticated symbolic computation techniques to model the simple to the complex, especially the multi-domain systems that are so frequently encountered in the real world.
Here we are again with the latest version of an immense software set that is a workhorse and powerhouse of statistical analysis. Although it has its own programming language and runs R programs within it, it is menu-driven! For those of us who are programming-challenged (although your editor can code) this is truly a gift.
What’s so remarkable about it? Well for one it was originally geared to chemical engineers, is now used by a wide spectrum of chemists and is remarkable for its choice of tools, namely experimental design (DOE) and multivariate statistics. It does a good job of both and the developers have added many new features (this is NOT your father’s ver. 9.2!).
Tibco calls Spotfire 3.1 “predictive analytics accessible within Spotfire’s visual user experience.” I believe they are trying to convey a sense that large, complex data sets may be easily analyzed by both technical and non-technical staff, and the results shared with colleagues. This facilitates many “what-if” scenarios to gain further insights into what the data is telling them.
MapleSim is modeling and simulation software for engineering applications and runs on top of the Maple 13 mathematics platform. It is designed for Windows, Linux and Macintosh systems (32- and 64-bit). For the research fans, this software can produce optimized, equation-based models providing real-time hardware-in-the-loop applications.
The addition of Genomics and Meta Analysis modules is priceless web exclusive John A. Wass, Ph.D. Genstat is statistical software with specialized modules for genomics and meta analysis included. This new version has quite a few additions and upgrades and it appears that the developers have flattened the learning curve somewhat.
Morphit is described at its Web site as ‘new spreadsheet technology used to handle multi-dimensional data,’ and I’m not quite sure what they were shooting at (or for). An informative white paper accessed from this site clarifies their purpose and gives a short history of spreadsheet development that some readers may find interesting
Just when you firmly believe it could not be made much simpler to use, the developers have done it again. Maple 13 has many interesting new features, but the most overwhelming is in the area of usability. Having been away from the program for a short while, it was relatively easy to glide right in and begin calculations without any pain and suffering
Multivariate statistical analysis is utilized when more than one observed variable is under study, and it is important to examine relationships between these variables. Most data collected by researchers is multivariate. However, in some cases, it is desirable to isolate only single variables for analysis. There are a number of procedures in this family, and they include both descriptive and inferential methods.
Scientific data analysis left the pen-and-ink stage with the advent of hand calculators and computers some years back. Due to perceived needs, many software routines churned out in academia were converted to commercial packages to feed an ever-hungry industrial and governmental base.
Some thoughts on current statistical software This is not a comparative study, rather an analysis of what users seem to feel is important in a platform, how well these items are addressed by present packages, and where the state of the art seems to be headed
What Will They Think of Next?! HP emulation software provides an exact replica of the actual calculatorJuly 28, 2009 9:18 am | by John A. Wass, Ph.D. | Articles | Comments
I must confess that the announcement of software to let engineers (or anyone else) put a calculator emulator on their computer left me somewhat baffled. It seems to me that the whole purpose of the hand calculator is to have a convenient, portable unit to take into the field or in those everyday situations where a computer is unnecessary.
Mathematica is too much of an old friend to say anything besides singing its praises. It never ceases to amaze just how much evolutionary progress can be made in even a short time. Many of these new features are something that may never be used by most analysts, but others are a welcome addition to the specialist. In this editor’s case, the genomic data access was a really nice surprise! Now onto the particulars…
It is always a pleasure to greet an old friend and, with each new release of JMP statistical/graphics software from SAS, excitement never abates. This major upgrade includes additions to the statistics, graphics, QA, ease-of-use, SAS integration and data management areas. In fact, the ‘New Features in JMP 8’ listing runs to 19 pages.
As the title implies, this is software for doing mathematics. It’s been a while since I have reviewed this package and, since the developers once again enhanced the ease-of-use features, it’s time for another look. There are a number of enhancements (as usual) in this go-around that are worthy of note, and the Maplesoft folks again added several features to flatten the learning curve and relieve any angst on the part of the novice.
The Getting Started manual describes this software as “…a complete and comprehensive statistics package…” but, actually, there is a lot more to it. Most packages these days have a variety of statistical tests with diagnostics and options, graphics, data handling capacity, a quality (QA) module and an experimental design (DOE) module.
The SYSTAT people who market this product have thrown me a curve. For years, I have bemoaned the fact that most of the upgrade and development efforts that went into the SigmaPlot/SigmaStat software seemed to be biased to the plot side. Imagine my joy as I discovered that SigmaStat is now fully included within SigmaPlot 11!
There may be more than a grain of truth to the marketing blurb I borrowed in the headline. As with many other successful packages, this one has come a long way from its command-line origins. I had found the earlier versions of this software to be rather plain and stiff.
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