Introduction to Computational Cancer Biology

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

I have been working with computational biology for a few years now and I still found plenty here that was new to me. It is denser than the page count suggests, and I found myself slowing down around the middle. The balance between theory and practice is well judged; neither side dominates. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

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

I had been on the fence about this one for a while, and I should have bought it sooner. It is denser than the page count suggests, and I found myself slowing down around the middle. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The balance between theory and practice is well judged; neither side dominates. An easy five stars from me. I look forward to whatever the author writes next.

Not quite what I expected from the description, but there is material here.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. I particularly liked the way the author builds up from simple cases before introducing the harder material. The progression from chapter to chapter is well thought out; nothing feels out of order. The book rewards careful reading. Skimming it would be a mistake. Useful as a reference, less so as a straight read from cover to cover.