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by Eithon Cadag
by Gunnar Carlsson
by Pek Lum, Gurjeet Singh, Gunnar Carlsson
by Gurjeet Singh
by Pek Lum
Ayasdi applies TDA, machine learning and Hadoop twist to advanced analytics
Date: March 7, 2013
Learn about the main properties of topology, and how it provides a framework for machine learning.
Learn how Topology is used to analyze large disparate datasets.
Learn how Topological Data Analysis compares to other machine learning and statistical methods.
Recorded in February 2014
Recorded in January 2014
Recorded in December 2013
Recorded in August 2013
Recorded in April 2013
2012 American Society for Microbiology (ASM) Abstract
2012 American Society for Microbiology (ASM) Poster
2011 Bio-IT World Presentation
2012 Molecular Medicine Tri-Conference Presentation
2012 Bio-IT World Poster
MMTC 2012 Poster
Using Iris Insight, one can identify subpopulations and patient segmentation.
SNP Analysis from next generation sequencing
A clinical data set with outcomes and gene expression data can be analyzed to identify biomarkers that could be indicative of survival.
One of the most exciting biological problems of our time relates to totipotency: capable of developing into a complete organism or differentiating into any of its cells or tissues.
We analyzed the population structure using copy number variation data from the HapMap samples.
We analyzed a gene expression dataset of two corn strains, the drought tolerant line Han 21 and the drought sensitive Ye 478.
Ever wondered why there are only five positions in basketball? So did we.
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