Gene Network Inference.pdf

Gene Network Inference

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Gene Regulatory Network Inference from Single … We also infer gene regulatory networks from three experimental single-cell datasets and illustrate how network context, choices made during analysis, and sources of variability affect network inference. PIDC tutorials and open-source software for estimating PID are available. PIDC should facilitate the identification of putative functional

3642451608 ISBN
Englisch SPRACHE
Gene Network Inference.pdf


PC und Mac

Lesen Sie das eBook direkt nach dem Herunterladen über "Jetzt lesen" im Browser, oder mit der kostenlosen Lesesoftware Adobe Digital Editions.

iOS & Android

Für Tablets und Smartphones: Unsere Gratis tolino Lese-App

Andere eBook Reader

Laden Sie das eBook direkt auf dem Reader im herunter oder übertragen Sie es mit der kostenlosen Software Sony READER FOR PC/Mac oder Adobe Digital Editions.


Öffnen Sie das eBook nach der automatischen Synchronisation auf dem Reader oder übertragen Sie es manuell auf Ihr tolino Gerät mit der kostenlosen Software Adobe Digital Editions.

Aktuelle Bewertungen

Sofia Voigt

Gene network inference by fusing data from diverse distributions Marinka Zitnik! 1 and Blazˇ Zupan1,2,* 1Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

Matteo Müller

Computational biology and gene network …

Noel Schulze

The inference of a gene regulation network requires knowledge of the gene expression levels at successive time points, at least before and after a network transition. However, owing to experimental limitations a complete determination of the precursor state is not possible. Results: We investigate a strategy for the inference of gene regulatory networks from incomplete expression data based on

Jason Lehmann

Gene regulatory network inference resources: A …

Jessica Kohmann

02.07.2017 · Background The inference of gene regulatory networks is of great interest and has various applications. The recent advances in high-throughout biological data collection have facilitated the construction and understanding of gene regulatory networks in many model organisms. However, the inference of gene networks from large-scale human genomic data can be challenging. Generally, it is