Anna Shcherbina

Anna Shcherbina

Stanford University

H-index: 23

North America-United States

About Anna Shcherbina

Anna Shcherbina, With an exceptional h-index of 23 and a recent h-index of 21 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computational biology, epigenomics, deep learning.

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

Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk

Machine learning enables prediction of ADC targets from whole slide H&E images

Histopathology-derived molecular portrait of serous ovarian cancer

Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Machine learning enabled prediction of digital biomarkers from whole slide histopathology images

Genome-wide interaction study with smoking for colorectal cancer risk identifies novel genetic loci related to tumor suppression, inflammation and immune response

Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Manipulation of the nucleoscaffold potentiates cellular reprogramming kinetics

Anna Shcherbina Information

University

Position

___

Citations(all)

3551

Citations(since 2020)

3196

Cited By

1187

hIndex(all)

23

hIndex(since 2020)

21

i10Index(all)

30

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Anna Shcherbina Skills & Research Interests

Computational biology

epigenomics

deep learning

Top articles of Anna Shcherbina

Machine learning enables prediction of ADC targets from whole slide H&E images

Cancer Research

2024/3/22

Histopathology-derived molecular portrait of serous ovarian cancer

Cancer Research

2024/3/22

Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Cancer Epidemiology, Biomarkers & Prevention

2024/3/1

Machine learning enabled prediction of digital biomarkers from whole slide histopathology images

medRxiv

2024/1/8

Genome-wide interaction study with smoking for colorectal cancer risk identifies novel genetic loci related to tumor suppression, inflammation and immune response

Cancer Epidemiology, Biomarkers & Prevention

2024/1/1

Manipulation of the nucleoscaffold potentiates cellular reprogramming kinetics

bioRxiv

2023/3/13

Machine learning derived embeddings of bulk multi-omics data enable clinically significant representations in a pan-cancer cohort

2023/10/27

Anna Shcherbina
Anna Shcherbina

H-Index: 15

Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study

European Heart Journal-Digital Health

2023/10

Systems and methods for genetic identification and analysis

2023/9/14

Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease

Cell

2022/12/22

Physical activity and its association with traditional outcome measures in pulmonary arterial hypertension

Annals of the American Thoracic Society

2022/4

See List of Professors in Anna Shcherbina University(Stanford University)