Review




Structured Review

Human Protein Atlas human protein atlas subcellular localization data
Human Protein Atlas Subcellular Localization Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human protein atlas subcellular localization data/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
human protein atlas subcellular localization data - by Bioz Stars, 2026-05
90/100 stars

Images



Similar Products

90
Human Protein Atlas human protein atlas subcellular localization data
Human Protein Atlas Subcellular Localization Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human protein atlas subcellular localization data/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
human protein atlas subcellular localization data - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Human Protein Atlas subcellular localization data from the human protein atlas
The Structure of MAPSD MAPSD steps include: creating the protein-protein interaction network followed by adjusting it for <t>subcellular</t> localizations; creating the Markov transition distribution matrix, assembling SCZ signatures from genome, epigenome, and transcriptome sources followed by creating the signal vector and adjust it for different tissues and cell types within them; creating tissue/cell-specific interaction networks, and signal diffusion across all of the dedicated networks to measure the disease signal intensities in unannotated proteins. Each dot on the human body scheme denoted the tissue being evaluated.
Subcellular Localization Data From The Human Protein Atlas, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/subcellular localization data from the human protein atlas/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
subcellular localization data from the human protein atlas - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Human Protein Atlas human protein atlas expression and subcellular localization data
The Structure of MAPSD MAPSD steps include: creating the protein-protein interaction network followed by adjusting it for <t>subcellular</t> localizations; creating the Markov transition distribution matrix, assembling SCZ signatures from genome, epigenome, and transcriptome sources followed by creating the signal vector and adjust it for different tissues and cell types within them; creating tissue/cell-specific interaction networks, and signal diffusion across all of the dedicated networks to measure the disease signal intensities in unannotated proteins. Each dot on the human body scheme denoted the tissue being evaluated.
Human Protein Atlas Expression And Subcellular Localization Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human protein atlas expression and subcellular localization data/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
human protein atlas expression and subcellular localization data - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


The Structure of MAPSD MAPSD steps include: creating the protein-protein interaction network followed by adjusting it for subcellular localizations; creating the Markov transition distribution matrix, assembling SCZ signatures from genome, epigenome, and transcriptome sources followed by creating the signal vector and adjust it for different tissues and cell types within them; creating tissue/cell-specific interaction networks, and signal diffusion across all of the dedicated networks to measure the disease signal intensities in unannotated proteins. Each dot on the human body scheme denoted the tissue being evaluated.

Journal: Patterns

Article Title: Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes

doi: 10.1016/j.patter.2020.100091

Figure Lengend Snippet: The Structure of MAPSD MAPSD steps include: creating the protein-protein interaction network followed by adjusting it for subcellular localizations; creating the Markov transition distribution matrix, assembling SCZ signatures from genome, epigenome, and transcriptome sources followed by creating the signal vector and adjust it for different tissues and cell types within them; creating tissue/cell-specific interaction networks, and signal diffusion across all of the dedicated networks to measure the disease signal intensities in unannotated proteins. Each dot on the human body scheme denoted the tissue being evaluated.

Article Snippet: This adjustment is conducted using the subcellular localization data from the Human Protein Atlas ( A).

Techniques: Plasmid Preparation, Diffusion-based Assay

The List of Cell Types and Tissues Used in This Study (A) The 131 combinations of cell types and tissues. Each color denotes a tissue and the forks for each color represent their corresponding cell types in this study. (B) The list of subcellular domains in this study followed by the number of proteins being expressed in each subcellular domain.

Journal: Patterns

Article Title: Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes

doi: 10.1016/j.patter.2020.100091

Figure Lengend Snippet: The List of Cell Types and Tissues Used in This Study (A) The 131 combinations of cell types and tissues. Each color denotes a tissue and the forks for each color represent their corresponding cell types in this study. (B) The list of subcellular domains in this study followed by the number of proteins being expressed in each subcellular domain.

Article Snippet: This adjustment is conducted using the subcellular localization data from the Human Protein Atlas ( A).

Techniques:

Expression Patterns of MAPSD Brain-Specific Genes at Cell Resolution and Subcellular Domains (A) Frequency of MAPSD original SCZ risk genes at single-cell resolution to be highly expressed in four brain regions. (B) Frequency of MAPSD newly identified SCZ risk genes at single-cell resolution to be highly expressed in four brain regions. (C) Frequency of MAPSD original SCZ risk genes at protein level to be highly expressed in various subcellular domains in five cell types across four different brain regions. (D) Frequency of MAPSD newly identified SCZ risk genes at protein level to be highly expressed in various subcellular domains in five cell types across four different brain regions.

Journal: Patterns

Article Title: Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes

doi: 10.1016/j.patter.2020.100091

Figure Lengend Snippet: Expression Patterns of MAPSD Brain-Specific Genes at Cell Resolution and Subcellular Domains (A) Frequency of MAPSD original SCZ risk genes at single-cell resolution to be highly expressed in four brain regions. (B) Frequency of MAPSD newly identified SCZ risk genes at single-cell resolution to be highly expressed in four brain regions. (C) Frequency of MAPSD original SCZ risk genes at protein level to be highly expressed in various subcellular domains in five cell types across four different brain regions. (D) Frequency of MAPSD newly identified SCZ risk genes at protein level to be highly expressed in various subcellular domains in five cell types across four different brain regions.

Article Snippet: This adjustment is conducted using the subcellular localization data from the Human Protein Atlas ( A).

Techniques: Expressing