Challenges and perspectives in computational deconvolution of genomics data

no code implementations • 21 Nov 2022 • Lana X. Garmire, Yijun Li, Qianhui Huang, Chuan Xu, Sarah Teichmann, Naftali Kaminski, Matteo Pellegrini, Quan Nguyen, Andrew E. Teschendorff

Deciphering cell type heterogeneity is crucial for systematically understanding tissue homeostasis and its dysregulation in diseases.

Benchmarking

Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis

no code implementations • 18 Mar 2022 • Yijun Li, Stefan Stanojevic, Lana X. Garmire

Spatial transcriptomics (ST) has advanced significantly in the last few years.

Computational Methods for Single-Cell Multi-Omics Integration and Alignment

no code implementations • 18 Jan 2022 • Stefan Stanojevic, Yijun Li, Lana X. Garmire

Recently developed technologies to generate single-cell genomic data have made a revolutionary impact in the field of biology.

Machine Translation Translation

ASGARD: A Single-cell Guided pipeline to Aid Repurposing of Drugs

1 code implementation • 14 Sep 2021 • Bing He, Yao Xiao, Haodong Liang, Qianhui Huang, Yuheng Du, Yijun Li, David Garmire, Duxin Sun, Lana X. Garmire

Intercellular heterogeneity is a major obstacle to successful precision medicine.

Drug Response Prediction

Recommendations to enhance rigor and reproducibility in biomedical research

1 code implementation • 15 Jan 2020 • Jaqueline J. Brito, Jun Li, Jason H. Moore, Casey S. Greene, Nicole A. Nogoy, Lana X. Garmire, Serghei Mangul

Computational methods have reshaped the landscape of modern biology.