Practical Guidelines for Incorporating Knowledge-Based and Data-Driven Strategies into the Inference of Gene Regulatory Networks-Reference-Cited by-同舟云学术

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Practical Guidelines for Incorporating Knowledge-Based and Data-Driven Strategies into the Inference of Gene Regulatory Networks

Published:2016-01-01 Issue:1 Volume:13 Page:64-75
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Hsiao Yu-Ting,Lee Wei-Po,Yang Wei,Muller Stefan,Flamm Christoph,Hofacker Ivo,Kugler Philipp

Funder

National Science Council of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/7401194/7214249.pdf?arnumber=7214249

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3. NG-SEM: an effective non-Gaussian structural equation modeling framework for gene regulatory network inference from single-cell RNA-seq data;Briefings in Bioinformatics;2023-09-22

4. Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-03-01

5. Data-driven and Knowledge-based Algorithms for Gene Network Reconstruction on High-dimensional Data;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2020

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