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Adriana Ivich

Showing results (1-10 of 9) with videos related to

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Biorxiv : the Preprint Server for Biology|September 2, 2025
Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolutionAdriana Ivich, Casey S Greene
Nature Biomedical Engineering|December 17, 2024
Latent spaces for tumour transcriptomesAdriana Ivich, Casey S Greene
Cell Reports Methods|March 27, 2026
Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolutionAdriana Ivich, Casey S Greene
ASAIO Journal (American Society for Artificial Internal Organs : 1992)|November 2, 2020
Impella 5.5 Versus Centrimag: A Head-to-Head Comparison of Device HemocompatibilityYana Roka-Moiia, Mengtang Li, Adriana Ivich, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
Characterizing intra- and inter-tumor heterogeneity in Ovarian high-grade serous carcinoma subtypes using single-cell and spatial transcriptomicsWeishan Li, Laurie Grieshober, Jason Gertz, et al.
Genome Biology|April 8, 2025
Missing cell types in single-cell references impact deconvolution of bulk data but are detectableAdriana Ivich, Natalie R Davidson, Laurie Grieshober, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
Deconvolved tumor adipocyte proportions and high grade serous ovarian carcinoma survivalAdriana Ivich, Laurie Grieshober, Natalie R Davidson, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Transcriptomic subtypes in high-grade serous ovarian cancer are driven by tumor cellular compositionStephanie Tanis, Manoel Lixandrao, Adriana Ivich, et al.
Biorxiv : the Preprint Server for Biology|April 17, 2026
The Common Fund Data Ecosystem (CFDE)Julie A Jurgens, Andreas Bueckle, Jeet Vora, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Biorxiv : the Preprint Server for Biology|September 2, 2025
Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolutionAdriana Ivich, Casey S Greene
Nature Biomedical Engineering|December 17, 2024
Latent spaces for tumour transcriptomesAdriana Ivich, Casey S Greene
Cell Reports Methods|March 27, 2026
Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolutionAdriana Ivich, Casey S Greene
ASAIO Journal (American Society for Artificial Internal Organs : 1992)|November 2, 2020
Impella 5.5 Versus Centrimag: A Head-to-Head Comparison of Device HemocompatibilityYana Roka-Moiia, Mengtang Li, Adriana Ivich, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
Characterizing intra- and inter-tumor heterogeneity in Ovarian high-grade serous carcinoma subtypes using single-cell and spatial transcriptomicsWeishan Li, Laurie Grieshober, Jason Gertz, et al.
Genome Biology|April 8, 2025
Missing cell types in single-cell references impact deconvolution of bulk data but are detectableAdriana Ivich, Natalie R Davidson, Laurie Grieshober, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
Deconvolved tumor adipocyte proportions and high grade serous ovarian carcinoma survivalAdriana Ivich, Laurie Grieshober, Natalie R Davidson, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Transcriptomic subtypes in high-grade serous ovarian cancer are driven by tumor cellular compositionStephanie Tanis, Manoel Lixandrao, Adriana Ivich, et al.
Biorxiv : the Preprint Server for Biology|April 17, 2026
The Common Fund Data Ecosystem (CFDE)Julie A Jurgens, Andreas Bueckle, Jeet Vora, et al.
Pageof 1