Qlucore (2)

• 5 Steps for Advanced Data Analysis using Visualization - Oct 28, 2016.
  
  In most of the scientific researches, due to large amount of experiment data, statistical analysis is typically done by technical experts in computing and statistics. Unfortunately, these experts are not the experts of underlying research; which may cause gaps in analysis. If actual researchers are given easy to use tools and methods to handle and analyse data, it will enrich the research outcome for sure.

  Bioinformatics, Clustering, Data Exploration, Data Visualization, Noise, PCA, Qlucore, Statistical Analysis

• A comparison between PCA and hierarchical clustering - Feb 23, 2016.
  
  Graphical representations of high-dimensional data sets are the backbone of exploratory data analysis. We examine 2 of the most commonly used methods: heatmaps combined with hierarchical clustering and principal component analysis (PCA).

  Clustering, Data Visualization, Life Science, PCA, Qlucore