Introduction to Computational Cancer Biology

I have read a lot of books on this subject and this is the clearest.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The progression from chapter to chapter is well thought out; nothing feels out of order. The author is unusually honest about where the simplifications break down, which I appreciated. I have already recommended it to two colleagues and will recommend it to more.

Better than I expected. Rare to find a technical book this well judged.

I have been working with computational biology for a few years now and I still found plenty here that was new to me. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The explanations are careful without being condescending, which is a difficult balance to strike. The explanations are careful without being condescending, which is a difficult balance to strike. An easy five stars from me. I look forward to whatever the author writes next.

Good in places. I would borrow it before buying if you can.

I came to this book already familiar with the basics, and it still had plenty to offer. A few of the examples could be more realistic, but the underlying points come across clearly. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Useful as a reference, less so as a straight read from cover to cover.