Nilah M Ioannidis

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Lymph Node Metastasis

Gene Expression

Top Venues

bioRxiv : the preprint server for biology

Nature genetics

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Pooja Kathail, Richard W Shuai, Ryan Chung, Chun Jimmie Ye, Gabriel B Loeb, Nilah M Ioannidis
Current genomic deep learning models display decreased performance in cell type-specific accessible regions. Genome biology 25 (1) (2024)
Gabriel B Loeb, Pooja Kathail, Richard W Shuai, Ryan Chung, Reinier J Grona, Sailaja Peddada, Volkan Sevim, Scot Federman, Karl Mader, Audrey Y Chu, Jonathan Davitte, Juan Du, Alexander R Gupta, Chun Jimmie Ye, Shawn Shafer, Laralynne Przybyla, Radu Rapiteanu, Nilah M Ioannidis, Jeremy F Reiter
Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function. Nature genetics (2024)
Pooja Kathail, Richard W Shuai, Ryan Chung, Chun Jimmie Ye, Gabriel B Loeb, Nilah M Ioannidis
Current genomic deep learning models display decreased performance in cell type-specific accessible regions. Genome biology 25 (1) (2024)
Pooja Kathail, Richard W Shuai, Ryan Chung, Chun Jimmie Ye, Gabriel B Loeb, Nilah M Ioannidis
Current genomic deep learning models display decreased performance in cell type-specific accessible regions. Genome biology 25 (1) (2024)
Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W Shuai, Nilah M Ioannidis
Characterizing uncertainty in predictions of genomic sequence-to-activity models. bioRxiv : the preprint server for biology (2023)
Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W Shuai, Nilah M Ioannidis
Characterizing uncertainty in predictions of genomic sequence-to-activity models. bioRxiv : the preprint server for biology (2023)
Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W Shuai, Nilah M Ioannidis
Characterizing uncertainty in predictions of genomic sequence-to-activity models. bioRxiv : the preprint server for biology (2023)
Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W Shuai, Nilah M Ioannidis
Characterizing uncertainty in predictions of genomic sequence-to-activity models. bioRxiv : the preprint server for biology (2023)
Eyes S Robson, Nilah M Ioannidis
GUANinE v0.9: Benchmark Datasets for Genomic AI Sequence-to-Function Models. bioRxiv : the preprint server for biology (2023)
Connie Huang, Richard W Shuai, Parth Baokar, Ryan Chung, Ruchir Rastogi, Pooja Kathail, Nilah M Ioannidis
Personal transcriptome variation is poorly explained by current genomic deep learning models. Nature genetics (2023)
Ryo Yamamoto, Ryan Chung, Juan Manuel Vazquez, Huanjie Sheng, Philippa L Steinberg, Nilah M Ioannidis, Peter H Sudmant
Tissue-specific impacts of aging and genetics on gene expression patterns in humans. Nature communications 13 (1) (2022)