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BMCBI
2016
54views more  BMCBI 2016»
10 years 1 months ago
BayesFlow: latent modeling of flow cytometry cell populations
Background: Flow cytometry is a widespread single-cell measurement technology with a multitude of clinical and research applications. Interpretation of flow cytometry data is hard...
Kerstin Johnsson, Jonas Wallin, Magnus Fontes
BMCBI
2016
101views more  BMCBI 2016»
10 years 1 months ago
Broadwick: a framework for computational epidemiology
Background: Modelling disease outbreaks often involves integrating the wealth of data that are gathered during modern outbreaks into complex mathematical or computational models o...
Anthony O'Hare, Samantha Lycett, Thomas Doherty, L...
BMCBI
2016
41views more  BMCBI 2016»
10 years 1 months ago
Weakly supervised learning of biomedical information extraction from curated data
Suvir Jain, Kashyap R., Tsung-Ting Kuo, Shitij Bha...
BMCBI
2016
54views more  BMCBI 2016»
10 years 1 months ago
A two-layer integration framework for protein complex detection
Background: Protein complexes carry out nearly all signaling and functional processes within cells. The study of protein complexes is an effective strategy to analyze cellular fun...
Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, ...
BMCBI
2016
61views more  BMCBI 2016»
10 years 1 months ago
Diffany: an ontology-driven framework to infer, visualise and analyse differential molecular networks
Background: Differential networks have recently been introduced as a powerful way to study the dynamic rewiring capabilities of an interactome in response to changing environmenta...
Sofie Van Landeghem, Thomas Van Parys, Marieke Dub...