2016 bioinformatics and computational pathology summit
Frequently asked questions (FAQ)
What is computational pathology?
Computational pathology is a new phrase that we thought of to describe the interface between technologies used in digital pathology, and algorithmic strategies used to solve computational problems in other areas like bioinformatics, computational biology, machine learning, or more general imaging communities.
Say that I'm an NGS scientist; how can digital pathology help me?
In pathology there's a saying: "tissue is the issue". This means that we feel that morphology still matters in an NGS world. The idea is that if you were to individual cell sequencing, you would get a better understanding of the results by also taking into consideration the relative orientation of the cells from which you extracted the genetic material or transcripts from. Digital pathology techniques can also assist you to help you identify the most interesting cells to apply *omics techniques on in the first place. When you combine this type of methods with NGS, you're a computational pathologist.
Can you provide some examples in the recent literature of computational pathology?