pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification-Reference-Cited by-同舟云学术

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pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Papageorgiou Pantelis¹,Korfiati Aigli¹,Misios Aristotelis¹,Vrahatis Aristidis G.¹,Pittis Alexandros A.¹,Tanasa Bogdan²,Mavrommatis Konstantinos³,Zhao Yilin²,Yang Tao⁴,Pitsikalis Vassilis¹

Affiliation:

1. Deeplab,Athens,Greece

2. Bristol Myers Squibb,Readwood City,CA,USA

3. Bristol Myers Squibb,Boudry,NE,Switzerland

4. Prevail Therapeutics, a Wholly Owned Subsidiary of Eli Lilly and Company

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10386006.pdf?arnumber=10386006

Reference20 articles.

1. Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data

2. The molecular and cellular heterogeneity of pancreatic ductal adenocarcinoma

3. A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets

4. Deep learning approach for cancer subtype classification using high-dimensional gene expression data

5. PanClassif: Improving pan cancer classification of single cell RNA-seq gene expression data using machine learning

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