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Iscience
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February 16, 2022
Machine learning for multi-omics data integration in cancer
Zhaoxiang Cai, Rebecca C Poulos, Jia Liu, et al.
Analytical Chemistry
|
October 11, 2014
Barcode-like paper sensor for smartphone diagnostics: an application of blood typing
Liyun Guan, Junfei Tian, Rong Cao, et al.
Proteomics
|
September 10, 2022
Opportunities for pharmacoproteomics in biomarker discovery
Rebecca C Poulos, Zhaoxiang Cai, Phillip J Robinson, et al.
Cancer Research Communications
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November 12, 2024
DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways
Zhaoxiang Cai, Rebecca C Poulos, Adel Aref, et al.
Briefings in Bioinformatics
|
August 1, 2025
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
Ana R Baião, Zhaoxiang Cai, Rebecca C Poulos, et al.
Nature Communications
|
November 29, 2024
Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Zhaoxiang Cai, Sofia Apolinário, Ana R Baião, et al.
Nature Communications
|
February 5, 2025
Author Correction: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Zhaoxiang Cai, Sofia Apolinário, Ana R Baião, et al.
Nature Communications
|
December 23, 2025
Large-scale drug sensitivity, gene dependency, and proteogenomic analyses of telomere maintenance mechanisms in cancer cells
Yangxiu Wu, Zhaoxiang Cai, Dale Cross, et al.
Cancer Cell
|
July 15, 2022
Pan-cancer proteomic map of 949 human cell lines
Emanuel Gonçalves, Rebecca C Poulos, Zhaoxiang Cai, et al.
Cancer Discovery
|
June 9, 2025
Federated Deep Learning Enables Cancer Subtyping by Proteomics
Zhaoxiang Cai, Emma L Boys, Zainab Noor, et al.
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Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Iscience
|
February 16, 2022
Machine learning for multi-omics data integration in cancer
Zhaoxiang Cai, Rebecca C Poulos, Jia Liu, et al.
Analytical Chemistry
|
October 11, 2014
Barcode-like paper sensor for smartphone diagnostics: an application of blood typing
Liyun Guan, Junfei Tian, Rong Cao, et al.
Proteomics
|
September 10, 2022
Opportunities for pharmacoproteomics in biomarker discovery
Rebecca C Poulos, Zhaoxiang Cai, Phillip J Robinson, et al.
Cancer Research Communications
|
November 12, 2024
DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways
Zhaoxiang Cai, Rebecca C Poulos, Adel Aref, et al.
Briefings in Bioinformatics
|
August 1, 2025
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
Ana R Baião, Zhaoxiang Cai, Rebecca C Poulos, et al.
Nature Communications
|
November 29, 2024
Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Zhaoxiang Cai, Sofia Apolinário, Ana R Baião, et al.
Nature Communications
|
February 5, 2025
Author Correction: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Zhaoxiang Cai, Sofia Apolinário, Ana R Baião, et al.
Nature Communications
|
December 23, 2025
Large-scale drug sensitivity, gene dependency, and proteogenomic analyses of telomere maintenance mechanisms in cancer cells
Yangxiu Wu, Zhaoxiang Cai, Dale Cross, et al.
Cancer Cell
|
July 15, 2022
Pan-cancer proteomic map of 949 human cell lines
Emanuel Gonçalves, Rebecca C Poulos, Zhaoxiang Cai, et al.
Cancer Discovery
|
June 9, 2025
Federated Deep Learning Enables Cancer Subtyping by Proteomics
Zhaoxiang Cai, Emma L Boys, Zainab Noor, et al.
Page
of 1