Joint analysis of histopathology image features and gene expression in breast cancer-Reference-Cited by-同舟云学术

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Joint analysis of histopathology image features and gene expression in breast cancer

Published:2016-05-11 Issue:1 Volume:17 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Popovici Vlad,Budinská Eva,Čápková Lenka,Schwarz Daniel,Dušek Ladislav,Feit Josef,Jaggi Rolf

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-016-1072-z

Reference20 articles.

1. Hamilton PW, Bankhead P, Wang Y, Hutchinson R, Kieran D, McArt DG, James J, Salto-Tellez M. Digital pathology and image analysis in tissue biomarker research. Methods. 2014; 70(1):59–73.

2. Colen R, Foster I, Gatenby R, Giger ME, Gillies R, Gutman D, Heller M, Jain R, Madabhushi A, Madhavan S, Napel S, Rao A, Saltz J, Tatum J, Verhaak R, Whitman G. NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures. Transl Oncol. 2014; 7(5):556–69.

3. Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B. Histopathological image analysis: a review. IEEE Rev Biomed Eng. 2009; 2:147–71.

4. Yuan Y, Failmezger H, Rueda OM, Ali HR, Graf S, Chin SF, Schwarz RF, Curtis C, Dunning MJ, Bardwell H, Johnson N, Doyle S, Turashvili G, Provenzano E, Aparicio S, Caldas C, Markowetz F. Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling. Sci Transl Med. 2012; 4(157):143.

5. Kong J, Cooper LAD, Wang F, Gutman DA, Gao J, Chisolm C, Sharma A, Pan T, Van Meir EG, Kurc TM, Moreno CS, Saltz JH, Brat DJ. Integrative, multimodal analysis of glioblastoma using TCGA molecular data, pathology images, and clinical outcomes. IEEE Trans Biomed Eng. 2011; 58(12):3469–74.

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1. Towards key genes identification for breast cancer survival risk with neural network models;Computational Biology and Chemistry;2024-10

2. Histopathology image classification: highlighting the gap between manual analysis and AI automation;Frontiers in Oncology;2024-01-17

3. Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer;Scientific Reports;2023-10-05

4. Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets;Neural Computing and Applications;2023-09-19

5. Artificial intelligence in histopathology: enhancing cancer research and clinical oncology;Nature Cancer;2022-09-22

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