Computational methods to dissect gene regulatory networks in cancer-Reference-Cited by-同舟云学术

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Computational methods to dissect gene regulatory networks in cancer

Published:2017-04 Issue: Volume:2 Page:115-122
ISSN:2452-3100
Container-title:Current Opinion in Systems Biology
language:en
Short-container-title:Current Opinion in Systems Biology

Author:

Iyer Archana S.,Osmanbeyoglu Hatice U.,Leslie Christina S.

Funder

NCI funded CSBC Research Center for Computational Systems Immunology

NCI

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Science Applications,Drug Discovery,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation

Reference62 articles.

1. Emerging biological principles of metastasis;Lambert;Cell,2017

2. Weinberg RA: hallmarks of cancer: the next generation;Hanahan;Cell,2011

3. International network of cancer genome projects;The International Cancer Genome C;Nature,2010

4. Principles and methods of integrative genomic analyses in cancer;Kristensen;Nat Rev Cancer,2014

5. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin;Hoadley;Cell,2014

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2. Continuous lifelong learning for modeling of gene regulation from single cell multiome data by leveraging atlas-scale external data;2023-08-03

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4. ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages;Bioinformatics;2020-12-10

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