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Publications

Contextualizing protein representations using deep learning on protein networks and single-cell data.

Li MM, Huang Y, Sumathipala M, et al. Contextualizing protein representations using deep learning on protein networks and single-cell data. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.07.18.549602

Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases.

Yuan K, Longchamps RJ, Pardiñas AF, et al. Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.01.07.23284293

Bifunctional small molecules that induce nuclear localization and targeted transcriptional regulation.

Gibson WJ, Sadagopan A, Shoba VM, Choudhary A, Meyerson M, Schreiber SL. Bifunctional small molecules that induce nuclear localization and targeted transcriptional regulation. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.07.07.548101

Machine Learning Made Easy (MLme): A Comprehensive Toolkit for Machine Learning-Driven Data Analysis.

Akshay A, Katoch M, Shekarchizadeh N, et al. Machine Learning Made Easy (MLme): A Comprehensive Toolkit for Machine Learning-Driven Data Analysis. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.07.04.546825

Contextualizing protein representations using deep learning on protein networks and single-cell data.

Li MM, Huang Y, Sumathipala M, et al. Contextualizing protein representations using deep learning on protein networks and single-cell data. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.07.18.549602

Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases.

Yuan K, Longchamps RJ, Pardiñas AF, et al. Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.01.07.23284293

Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.

Kwak SH, Hernandez-Cancela RB, DiCorpo DA, et al. Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.07.25.23293180

Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.

Kwak SH, Hernandez-Cancela RB, DiCorpo DA, et al. Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.07.25.23293180

Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells.

Zhou T, Zhang R, Jia D, et al. Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.07.20.549578

Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells.

Zhou T, Zhang R, Jia D, et al. Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells. bioRxiv : the preprint server for biology. 2023. doi:10.1101/2023.07.20.549578