<p><a href="http://www.biomedcentral.com/1471-2172/8/27" rel="nofollow noreferrer">A guide to modern statistical analysis of immunological data</a><br>
Propose some questions to discuss:  </p>

<ul>
<li>Typical types of distributions in biomedical (immunology, etc.) sciences  </li>
<li>Substantiation for transforming raw data with a given frequency distribution to those with a normal one  </li>
</ul>

<p>and some specific problems:  </p>

<ul>
<li>Percentages in <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851216/" rel="nofollow noreferrer">immunogram</a> after angular (arc sin, <a href="http://projecteuclid.org/DPubS?service=UI&amp;version=1.0&amp;verb=Display&amp;handle=euclid.aoms/1177729756" rel="nofollow noreferrer">$Freeman$ — $Tukey's$</a>) transformation <a href="https://stats.stackexchange.com/questions/12067/is-freeman-tukeys-transformation-appropriate-and-the-most-powerful-for-perce">retain assymmetry</a>. Only $Box$ — $Cox$ transformation sometimes helps well but power transformations for frequences (= percentages = proportions) is arbitrariness...  </li>
<li>Difficult asymetric, probably polymodal distributions (for example for cytokines) in some cases and almost bell-shaped ones in the others...</li>
</ul>
