Lucia:
In response to your request.
This manuscript [see attached] is now “in press” and should appear online within the week. I’m VERY proud of this one. Knowing next-to-nothing about [a] the ‘nuts and bolts’ of bioinformatics programs and [b] lipid chemistry in vitro — I’ve spent since last July educating myself on these two topics, and then I used two previous GEITP email blogs as a foundation for writing this up.
Of course, despite two coauthors (helping me with EndNote and graphic illustrations), I wrote every word of the text and found all the references myself etc. What amazes me the most is the “overwhelming (divine?) Force” — to create Life as early as possible, despite a very inclement environment on early Earth. ☹☹
Remember we both sat in on that course (around 2009?) by Dr Rao on Bayesian mathematics…?? I thought the course was very useful and I’m glad you talked me into it. 😊 Bayesian math refers to a framework of statistics based on Bayes’ Theorem. It treats probability as a measure of belief or confidence rather than just long-run frequencies. It is unique because it allows you to continuously update your predictions as new evidence becomes available. Also, if some “important data points” are unavailable, Bayesian math is able to “insert the most likely numbers statistically” into those positions.
My main challenge was to “bring this paper down to a level” that I can understand, and that the Human Genomics Readership might also understand… ☹😊
—Dan
WHO said “you can’t teach an Old Dawg (VERY old dawg) — new tricks”…??????????