Alexandro E Trevino

Alexandro E Trevino

Stanford University

H-index: 15

North America-United States

About Alexandro E Trevino

Alexandro E Trevino, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Spatial biology, chromatin structure, genome engineering, neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems, methods and compositions for sequence manipulation with optimized functional crispr-cas systems

PEPSI: Polarity measurements from spatial proteomics imaging suggest immune cell engagement

Characterizing tissue structures from spatial omics with spatial cellular graph partition

901 Leveraging AWS and Posit for a streamlined and scalable processing and analysis platform for Visium spatial transcriptomics data

1314 Polarity measurements from multiplex imaging suggest immune cell activation

1302 A machine learning toolkit for automated processing of multiplexed immunofluorescence images

1315 Identification and generalization of tissue structures with spatial cellular graph partitioning (SCGP)

1290 Quantitative cell morphology featurization in multiplexed immunofluorescence images reveals tumor subtypes in cancer microenvironments

Alexandro E Trevino Information

University

Position

___

Citations(all)

11536

Citations(since 2020)

6944

Cited By

7270

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Alexandro E Trevino Skills & Research Interests

Spatial biology

chromatin structure

genome engineering

neuroscience

Top articles of Alexandro E Trevino

Systems, methods and compositions for sequence manipulation with optimized functional crispr-cas systems

2024/2/1

PEPSI: Polarity measurements from spatial proteomics imaging suggest immune cell engagement

2023

Characterizing tissue structures from spatial omics with spatial cellular graph partition

bioRxiv

2023

901 Leveraging AWS and Posit for a streamlined and scalable processing and analysis platform for Visium spatial transcriptomics data

2023/11/1

Aaron Mayer
Aaron Mayer

H-Index: 14

Alexandro E Trevino
Alexandro E Trevino

H-Index: 8

1314 Polarity measurements from multiplex imaging suggest immune cell activation

2023/11/1

1302 A machine learning toolkit for automated processing of multiplexed immunofluorescence images

2023/11/1

Aaron Mayer
Aaron Mayer

H-Index: 14

Alexandro E Trevino
Alexandro E Trevino

H-Index: 8

1315 Identification and generalization of tissue structures with spatial cellular graph partitioning (SCGP)

2023/11/1

1290 Quantitative cell morphology featurization in multiplexed immunofluorescence images reveals tumor subtypes in cancer microenvironments

2023/11/1

Aaron Mayer
Aaron Mayer

H-Index: 14

Alexandro E Trevino
Alexandro E Trevino

H-Index: 8

222-E Integrative spatial multi-omics analysis of NSCLC tumor microenvironment identifies key features associated with response to immune checkpoint inhibitor therapy

2023/11/1

Alexandro E Trevino
Alexandro E Trevino

H-Index: 8

Ying Qu
Ying Qu

H-Index: 5

Aaron Mayer
Aaron Mayer

H-Index: 14

emObject: domain specific data abstraction for spatial omics

bioRxiv

2023/6/9

Alexandro E Trevino
Alexandro E Trevino

H-Index: 8

Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis

Bioinformatics

2023/6/1

7-UP: Generating in silico CODEX from a small set of immunofluorescence markers

PNAS nexus

2023/6

CasKAS: direct profiling of genome-wide dCas9 and Cas9 specificity using ssDNA mapping

Genome Biology

2023/4/21

Spatial proteomics of human diabetic kidney disease, from health to class III

bioRxiv

2023/4/12

Alexandro E Trevino
Alexandro E Trevino

H-Index: 8

Zhenqin Wu
Zhenqin Wu

H-Index: 5

Kuang-Yu Jen
Kuang-Yu Jen

H-Index: 20

A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images

bioRxiv

2023

Graph deep learning for the characterization of tumour microenvironments from spatial protein profiles in tissue specimens

Nature Biomedical Engineering

2022/12

Single‐Cell Transcriptomic Census of Endothelial Changes Induced by Matrix Stiffness and the Association with Atherosclerosis

Advanced functional materials

2022/11

SPACE-GM: geometric deep learning of disease-associated microenvironments from multiplex spatial protein profiles

bioRxiv

2022/5/13

Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution

Cell

2021/9/16

See List of Professors in Alexandro E Trevino University(Stanford University)

Co-Authors

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