Tag Archives: MM-KBAC

What to expect from Golden Helix in 2015

There is a lot we can be grateful for at Golden Helix. The past year was marked by two major breakthrough launches. Earlier in 2014, we shipped SVS 8 which unified SVS with our GenomeBrowse product. We were able to improve SVS’ data management and visualization capabilities. In addition we added a number of new methods in SVS, such as SKAT-O, MM-KBAC, and various genomic prediction algorithms.

2014 in a Nutshell

      Andreas Scherer    December 30, 2014    No Comments on 2014 in a Nutshell

It’s cliche, I know, but wow…2014 flew by! And what a great year it was for the Golden Helix team – we made upgrades to both GenomeBrowse and SVS and released a brand new product – VarSeq! In April, we released GenomeBrowse 2.0, which was a reflection of our most frequent user requests. Users now have the ability to upload… Read more »

New MM-KBAC Method Explained

      Golden Helix    July 29, 2014    6 Comments on New MM-KBAC Method Explained

Last month, June 2014, we announced a new method that Golden Helix developed–the soon to be available MM-KBAC. MM-KBAC, or Mixed Model Kernel Based Adaptive Clustering combines the KBAC method developed by Lui and Leal (2010) with a random effects matrix to adjust for relationships between samples. The KBAC algorithm takes a binary dependent variable and transformations are used to convert… Read more »