Elior Rahmani - Concepedia

Author

Elior Rahmani

University of California, Los Angeles ORCID

Also Known As

E. Rahmani, Elior Rahmani, Rahmani Elior, Rahmani, Elior

Publications

2.8K

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles Tel Aviv University University of California, Berkeley University of California, San Francisco Helsinki University Hospital

About

Elior Rahmani is an author at University of California, Los Angeles specializing in engineering, medicine, and bioinformatics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	1.5K
2	Medicine	6	6	1.5K
3	Biostatistics	5	5	506
4	Public Health	1	1	13
5	Allergy	1	1	19

Elior Rahmani

Publications

2.7K

Citations

H-Index

Page 1

	Year	Citations
Cross-tissue immune cell analysis reveals tissue-specific features in humans Cecilia Domínguez Conde, Chuan Xu, Lorna B. Jarvis, Science Tissue-specific FeaturesEngineeringLaboratory ImmunologyImmunologyPathology	2022	1K
Accurate estimation of cell composition in bulk expression through robust integration of single-cell information Brandon Jew, Marcus Alvarez, Elior Rahmani, Nature Communications	2020	424
Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies Elior Rahmani, Noah Zaitlen, Yael Baran, Nature Methods Genome-wide Association StudySparse PcaEpigenome-wide Association StudiesEngineeringGenotype-phenotype Association	2016	307
Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology Elior Rahmani, Regev Schweiger, Brooke Rhead, Nature Communications	2019	173
Genome-wide methylation data mirror ancestry information Elior Rahmani, Liat Shenhav, Regev Schweiger, Epigenetics & Chromatin	2017	142
Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM Marcus Alvarez, Elior Rahmani, Brandon Jew, Scientific Reports Semi-supervised MachineEngineeringGeneticsTranscriptomics TechnologySingle-nucleus Rna Sequencing	2020	96
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity David Goodman‐Meza, Ákos Rudas, Jeffrey N. Chiang, PLoS ONE	2020	70
Accurate estimation of cell composition in bulk expression through robust integration of single-cell information Brandon Jew, Marcus Alvarez, Elior Rahmani, EngineeringTranscriptomics TechnologyGene Expression ProfilingTrajectory AnalysisSingle Cell Sequencing	2019	67
The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance Zong Miao, Marcus Alvarez, Arthur Ko, PLoS Genetics	2020	66
GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data Elior Rahmani, Reut Yedidim, Liat Shenhav, Bioinformatics	2017	63

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