Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment

NIAID Data Ecosystem2026-03-12 收录

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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE136400

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This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

创建时间：

2020-11-25

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment. Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem30

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_3. Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_3

The multiple myeloma (MM) tumor microenvironment is thought to influence patient outcomes. To test this, we computationally enumerated relevant cell populations in 436 newly diagnosed MM patients. Uns

NIAID Data Ecosystem30

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_2

NIAID Data Ecosystem20

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_1. Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_1

NIAID Data Ecosystem20

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_2. Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_2

NIAID Data Ecosystem20