Chiara Sabatti

Stanford University — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

50h-index21.9kcitations218works2.92yr avg
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Research Topics

Genetic Associations and Epidemiology(62), Gene expression and cancer classification(52), Genetic Mapping and Diversity in Plants and Animals(27), Genomic variations and chromosomal abnormalities(19), Statistical Methods in Clinical Trials(19)

Publications216 total

Near-Peer Mentoring in Data Science: A Plot for Mutual Growth
The American Statistician·2025
Uncovering Heterogeneous Effects via Localized Feature Selection
2025Open Access
Fine-tuned large language models for answering questions about full-text biomedical research studies  
2025Open Access
Curriculum Design in an Evolving Field: Perspectives on Biomedical Data Science from Stanford
Annual Review of Biomedical Data Science·2025Open Access
Predicting Diagnostic Conversion From Major Depressive Disorder to Bipolar Disorder: An <scp>EHR</scp> Based Study From Colombia
Bipolar Disorders·2024· 4 citedOpen Access
Searching for local associations while controlling the false discovery rate
arXiv (Cornell University)·2024· 1 citedOpen Access
Second-order group knockoffs with applications to genome-wide association studies
Bioinformatics·2024· 5 citedOpen Access
A blended genome and exome sequencing method captures genetic variation in an unbiased, high-quality, and cost-effective manner
2024· 10 citedOpen Access
Catch me if you can: signal localization with knockoff <i>e</i>-values
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2024· 5 citedOpen Access
Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression
arXiv (Cornell University)·2024· 4 citedOpen Access
Second-order group knockoffs with applications to GWAS
PubMed·2023· 1 citedOpen Access
Catch me if you can: Signal localization with knockoff e-values
arXiv (Cornell University)·2023Open Access
Supplementary Methods and Figure Legend from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Figure 7 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Figure 1 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Figure 7 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Figure 4 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Table 3 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Table 2 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
Supplementary Figure 6 from A Molecular Screening Approach to Identify and Characterize Inhibitors of Glioblastoma Stem Cells
2023Open Access
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Frequent Co-authors

Nelson B. Freimer(9), Emmanuel J. Candès(6), Susan K. Service(5), Eleazar Eskin(5), Christine B. Peterson(5), Samuli Ripatti(4), Mark I. McCarthy(4), Jacobine E. Buizer‐Voskamp(4), Roel A. Ophoff(4), François Aguet(4), Kristin Ardlie(4), Brunilda Balliu(4), Michael J. Gloudemans(4), Sarah Kim-Hellmuth(4), Stephen B. Montgomery(4), Meritxell Oliva(4), Barbara E. Stranger(4), Neil Risch(4), Matteo Sesia(4), Robert W. Baloh(4)