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Christian Conrad

Bioinformatiker

Name	Christian Conrad
Place	Heidelberg (Wirkungsort) Deutschland
Gender	männlich
Academic degree	Dr. (Naturwissenschaftlich-Mathematische Gesamtfakultät der Universität Heidelberg) (2004)
Profession	Bioinformatiker (characteristic profession)
Related	Universität Heidelberg Deutsches Krebsforschungszentrum Berlin Institute of Health
Source	https://de.linkedin.com/in/christian-conrad-98a307226 (Stand: 16.11.2023)
Record type	Person
GND-Identifier	1168278953
Record ID	1168278953
Involved in show all ELF5 is a potential respiratory epithelial cell-specific risk gene for severe COVID-19 Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders SARS ‐CoV‐2 receptor ACE 2 and TMPRSS 2 are primarily expressed in bronchial transient secretory cells Pheno-seq: linking visual features and gene expression in 3D cell culture systems Unraveling mitotic protein networks by 3D multiplexed epitope drug screening Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations High content screening on human cell arrays by automated microscopy and pattern recognition

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Christian Conrad

ELF5 is a potential respiratory epithelial cell-specific risk gene for severe COVID-19

Gene set inference from single-cell sequencing data using a hybrid of matrix factorization and variational autoencoders

SARS ‐CoV‐2 receptor ACE 2 and TMPRSS 2 are primarily expressed in bronchial transient secretory cells

Pheno-seq: linking visual features and gene expression in 3D cell culture systems

Unraveling mitotic protein networks by 3D multiplexed epitope drug screening

Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations

Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations

Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations

High content screening on human cell arrays by automated microscopy and pattern recognition