Fereydoun Hormozdiari

About Fereydoun Hormozdiari

Fereydoun Hormozdiari, With an exceptional h-index of 43 and a recent h-index of 35 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Computational Biology, Algorithms, Human Genomics.

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

Orphan noncoding RNA (oncRNA) liquid biopsy assay is prognostic for survival in patients with triple-negative breast cancer (TNBC) and residual disease

Beyond detection: AI-based classification of breast cancer invasiveness using cell-free orphan non-coding RNAs

Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer

MA19. 09 AI-Based Early Detection and Subtyping of Non-Small Cell Lung Cancer from Blood Samples Using Orphan Noncoding RNAs

Consensus molecular subtypes and orphan non-coding RNAs in colorectal cancer.

Detection of early-stage cancers using circulating orphan non-coding RNAs in blood.

Blood-based early detection of non-small cell lung cancer using orphan noncoding RNAs

SVDSS: structural variation discovery in hard-to-call genomic regions using sample-specific strings from accurate long reads

Fereydoun Hormozdiari Information

University

Position

Assistant Professor at

Citations(all)

46700

Citations(since 2020)

22545

Cited By

34004

hIndex(all)

43

hIndex(since 2020)

35

i10Index(all)

61

i10Index(since 2020)

54

Email

University Profile Page

Google Scholar

Fereydoun Hormozdiari Skills & Research Interests

Computational Biology

Algorithms

Human Genomics

Top articles of Fereydoun Hormozdiari

Orphan noncoding RNA (oncRNA) liquid biopsy assay is prognostic for survival in patients with triple-negative breast cancer (TNBC) and residual disease

Cancer Research

2024/3/22

Fereydoun Hormozdiari
Fereydoun Hormozdiari

H-Index: 34

Priyanka Sharma
Priyanka Sharma

H-Index: 3

Beyond detection: AI-based classification of breast cancer invasiveness using cell-free orphan non-coding RNAs

Cancer Res

2024

Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer

medRxiv

2024

MA19. 09 AI-Based Early Detection and Subtyping of Non-Small Cell Lung Cancer from Blood Samples Using Orphan Noncoding RNAs

Journal of Thoracic Oncology

2023/11/1

Consensus molecular subtypes and orphan non-coding RNAs in colorectal cancer.

2023/6/1

Detection of early-stage cancers using circulating orphan non-coding RNAs in blood.

2023/6/1

Blood-based early detection of non-small cell lung cancer using orphan noncoding RNAs

Cancer Research

2023/4/4

SVDSS: structural variation discovery in hard-to-call genomic regions using sample-specific strings from accurate long reads

Nature Methods

2023/4

Abstract P1-05-18: Orphan non-coding RNAs for early detection of breast cancer with liquid biopsy

Cancer Research

2023/3/1

Prediction of Neurodevelopmental Disorders Based on De Novo Coding Variation

Journal of Autism and Developmental Disorders

2023/3

Fereydoun Hormozdiari
Fereydoun Hormozdiari

H-Index: 34

Dr. Nod: computational framework for discovery of regulatory non-coding drivers in tissue-matched distal regulatory elements

Nucleic Acids Research

2023/2/28

Jakub Tomek
Jakub Tomek

H-Index: 13

Fereydoun Hormozdiari
Fereydoun Hormozdiari

H-Index: 34

Identification of critical cell-types using genetic modules: A case study of neurodevelopmental disorders

bioRxiv

2023

95P Serum-based colorectal cancer detection using orphan noncoding RNAs

Annals of Oncology

2022/9/1

High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios

Cell

2022/9/1

Improved structural variant discovery in hard-to-call regions using sample-specific string detection from accurate long reads

bioRxiv

2022/2/14

MAGI-MS: multiple seed-centric module discovery

Bioinformatics advances

2022/1/1

Ryan Zhou
Ryan Zhou

H-Index: 0

Fereydoun Hormozdiari
Fereydoun Hormozdiari

H-Index: 34

Nebula: ultra-efficient mapping-free structural variant genotyper

Nucleic Acids Research

2021/1/27

Comparative genome analysis using sample-specific string detection in accurate long reads

Bioinformatics advances

2021/1/1

Meltos: multi-sample tumor phylogeny reconstruction for structural variants

Bioinformatics

2020/2/15

Camir Ricketts
Camir Ricketts

H-Index: 6

Victoria Popic
Victoria Popic

H-Index: 6

Fereydoun Hormozdiari
Fereydoun Hormozdiari

H-Index: 34

See List of Professors in Fereydoun Hormozdiari University(University of California, Davis)

Co-Authors

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