Introduction to Computational Cancer Biology

Good value. Not perfect, but I would buy another book from this author.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I found myself making notes in the margins, which is always a good sign. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

A useful guide. The examples assume a particular environment, but that is fixable.

I had been on the fence about this one for a while, and I should have bought it sooner. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The explanations are careful without being condescending, which is a difficult balance to strike. Good value for the price and worth the time it takes to work through properly.

Almost excellent. A second edition could easily push it to five stars.

This is the third book I have read on computational biology this year, and it is comfortably the best of them. The progression from chapter to chapter is well thought out; nothing feels out of order. The balance between theory and practice is well judged; neither side dominates. Solid, and I would buy another book from this author without hesitation.