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Machine learning for computational and systems biology

Section Editor: Professor Jean-Philippe Vert

As part of the launch of the journal section "Machine Learning and Artificial Intelligence in Bioinformatics", BMC Bioinformatics is excited to present a collection of papers included as part of the thematic series Machine learning for computational and systems biology.  

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Papers included in this collection will appear below as they are published.

  1. Content type: Research article

    Host immune response is coordinated by a variety of different specialized cell types that vary in time and location. While host immune response can be studied using conventional low-dimensional approaches, adv...

    Authors: Arezo Torang, Paraag Gupta and David J. Klinke II

    Citation: BMC Bioinformatics 2019 20:433

    Published on:

  2. Content type: Methodology article

    With the advent of array-based techniques to measure methylation levels in primary tumor samples, systematic investigations of methylomes have widely been performed on a large number of tumor entities. Most of...

    Authors: Pascal David Johann, Natalie Jäger, Stefan M. Pfister and Martin Sill

    Citation: BMC Bioinformatics 2019 20:428

    Published on:

  3. Content type: Methodology article

    Modern genomic and proteomic profiling methods produce large amounts of data from tissue and blood-based samples that are of potential utility for improving patient care. However, the design of precision medic...

    Authors: Joanna Roder, Carlos Oliveira, Lelia Net, Maxim Tsypin, Benjamin Linstid and Heinrich Roder

    Citation: BMC Bioinformatics 2019 20:325

    Published on: