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Aedin C Culhane

Showing results (1-10 of 33) with videos related to

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Frontiers in Oncology|July 14, 2020
Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell DataLauren L Hsu, Aedin C Culhane
Nature Reviews. Cancer|January 1, 2026
Convergence of machine learning and genomics for precision oncologyBrendan Reardon, Aedin C Culhane, Eliezer M Van Allen
Gigascience|November 28, 2024
demuxSNP: supervised demultiplexing single-cell RNA sequencing using cell hashing and SNPsMichael P Lynch, Yufei Wang, Shannan Ho Sui, et al.
Journal of the National Cancer Institute|January 21, 2012
A three-gene model to robustly identify breast cancer molecular subtypesBenjamin Haibe-Kains, Christine Desmedt, Sherene Loi, et al.
Genomics|April 25, 2008
Functional classification analysis of somatically mutated genes in human breast and colorectal cancersThomas W Chittenden, Eleanor A Howe, Aedin C Culhane, et al.
Journal of the National Cancer Institute|April 5, 2014
Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samplesMarkus Riester, Wei Wei, Levi Waldron, et al.
Plos Computational Biology|August 25, 2023
Curated single cell multimodal landmark datasets for R/BioconductorKelly B Eckenrode, Dario Righelli, Marcel Ramos, et al.
Plos Computational Biology|February 1, 2013
Significance analysis of prognostic signaturesAndrew H Beck, Nicholas W Knoblauch, Marco M Hefti, et al.
Plos One|October 14, 2015
RelA-Induced Interferon Response Negatively Regulates ProliferationBose S Kochupurakkal, Zhigang C Wang, Tony Hua, et al.
Trends in Genetics : TIG|August 26, 2018
Enter the Matrix: Factorization Uncovers Knowledge from OmicsGenevieve L Stein-O'Brien, Raman Arora, Aedin C Culhane, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Frontiers in Oncology|July 14, 2020
Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell DataLauren L Hsu, Aedin C Culhane
Nature Reviews. Cancer|January 1, 2026
Convergence of machine learning and genomics for precision oncologyBrendan Reardon, Aedin C Culhane, Eliezer M Van Allen
Gigascience|November 28, 2024
demuxSNP: supervised demultiplexing single-cell RNA sequencing using cell hashing and SNPsMichael P Lynch, Yufei Wang, Shannan Ho Sui, et al.
Journal of the National Cancer Institute|January 21, 2012
A three-gene model to robustly identify breast cancer molecular subtypesBenjamin Haibe-Kains, Christine Desmedt, Sherene Loi, et al.
Genomics|April 25, 2008
Functional classification analysis of somatically mutated genes in human breast and colorectal cancersThomas W Chittenden, Eleanor A Howe, Aedin C Culhane, et al.
Journal of the National Cancer Institute|April 5, 2014
Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samplesMarkus Riester, Wei Wei, Levi Waldron, et al.
Plos Computational Biology|August 25, 2023
Curated single cell multimodal landmark datasets for R/BioconductorKelly B Eckenrode, Dario Righelli, Marcel Ramos, et al.
Plos Computational Biology|February 1, 2013
Significance analysis of prognostic signaturesAndrew H Beck, Nicholas W Knoblauch, Marco M Hefti, et al.
Plos One|October 14, 2015
RelA-Induced Interferon Response Negatively Regulates ProliferationBose S Kochupurakkal, Zhigang C Wang, Tony Hua, et al.
Trends in Genetics : TIG|August 26, 2018
Enter the Matrix: Factorization Uncovers Knowledge from OmicsGenevieve L Stein-O'Brien, Raman Arora, Aedin C Culhane, et al.
Pageof 4