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Qile Dai

Showing results (1-10 of 14) with videos related to

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Biorxiv : the Preprint Server for Biology|January 3, 2024
STACCato: Supervised Tensor Analysis tool for studying Cell-cell Communication using scRNA-seq data across multiple samples and conditionsQile Dai, Michael P Epstein, Jingjing Yang
American Journal of Human Genetics|June 4, 2026
Identifying condition-related cell-cell communication events using supervised tensor analysisQile Dai, Jingjing Yang, Michael P Epstein
Plos Computational Biology|May 18, 2021
G2S3: A gene graph-based imputation method for single-cell RNA sequencing dataWeimiao Wu, Yunqing Liu, Qile Dai, et al.
Medrxiv : the Preprint Server for Health Sciences|February 27, 2026
Multi-tissue transcriptome-wide association study identifies 29 risk genes associated with attention-deficit/hyperactivity disorderSarina Abrishamcar, Qile Dai, Jingjing Yang, et al.
International Immunopharmacology|November 23, 2020
Regulation and characterization of tumor-infiltrating immune cells in breast cancerQile Dai, Weimiao Wu, Amei Amei, et al.
American Journal of Human Genetics|June 14, 2025
CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary dataS Taylor Head, Qile Dai, Joellen Schildkraut, et al.
Cancers|August 14, 2020
Interplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient SurvivalNayang Shan, Ningshan Li, Qile Dai, et al.
American Journal of Human Genetics|July 30, 2024
Omnibus proteome-wide association study identifies 43 risk genes for Alzheimer disease dementiaTingyang Hu, Randy L Parrish, Qile Dai, et al.
American Journal of Human Genetics|June 29, 2026
Comparison of methods for assessing effects of risk factors on disease progression in Mendelian randomization under index event biasLinxuan Zhang, Ixavier Alonzo Higgins, Qile Dai, et al.
Nature Communications|March 7, 2023
OTTERS: a powerful TWAS framework leveraging summary-level reference dataQile Dai, Geyu Zhou, Hongyu Zhao, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Biorxiv : the Preprint Server for Biology|January 3, 2024
STACCato: Supervised Tensor Analysis tool for studying Cell-cell Communication using scRNA-seq data across multiple samples and conditionsQile Dai, Michael P Epstein, Jingjing Yang
American Journal of Human Genetics|June 4, 2026
Identifying condition-related cell-cell communication events using supervised tensor analysisQile Dai, Jingjing Yang, Michael P Epstein
Plos Computational Biology|May 18, 2021
G2S3: A gene graph-based imputation method for single-cell RNA sequencing dataWeimiao Wu, Yunqing Liu, Qile Dai, et al.
Medrxiv : the Preprint Server for Health Sciences|February 27, 2026
Multi-tissue transcriptome-wide association study identifies 29 risk genes associated with attention-deficit/hyperactivity disorderSarina Abrishamcar, Qile Dai, Jingjing Yang, et al.
International Immunopharmacology|November 23, 2020
Regulation and characterization of tumor-infiltrating immune cells in breast cancerQile Dai, Weimiao Wu, Amei Amei, et al.
American Journal of Human Genetics|June 14, 2025
CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary dataS Taylor Head, Qile Dai, Joellen Schildkraut, et al.
Cancers|August 14, 2020
Interplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient SurvivalNayang Shan, Ningshan Li, Qile Dai, et al.
American Journal of Human Genetics|July 30, 2024
Omnibus proteome-wide association study identifies 43 risk genes for Alzheimer disease dementiaTingyang Hu, Randy L Parrish, Qile Dai, et al.
American Journal of Human Genetics|June 29, 2026
Comparison of methods for assessing effects of risk factors on disease progression in Mendelian randomization under index event biasLinxuan Zhang, Ixavier Alonzo Higgins, Qile Dai, et al.
Nature Communications|March 7, 2023
OTTERS: a powerful TWAS framework leveraging summary-level reference dataQile Dai, Geyu Zhou, Hongyu Zhao, et al.
Pageof 2