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The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be ...
This study illustrates a valuable application of BID-seq to bacterial RNA, allowing transcriptome-wide mapping of pseudouridine modifications across various bacterial species. The evidence presented ...
Immune-checkpoint therapy (ICT), which attempts to harness a patient's own immune system to fight cancer, has revolutionized ...
scPEGSSC:Proximity Enhanced Graph Convolutional Sparse Subspace Clustering Method for scRNA-seq Data
Abstract: The identification of cell types by clustering singlecell RNA sequencing (scRNA-seq) data is a fundamental step in the downstream analysis of single-cell data. However, great challenges ...
AIRNA is expected to file clinical trial application for optimized product candidate (AIR-001) with potential best-in-class profile for AATD in 2H 2025 CAMBRIDGE, Mass. &, TÜBINGEN, Germany--(BUSINESS ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
This project constructed a nonnegative matrix factorization model integrating two scRNA-seq. This model is called the Integrated Nonnegative Low Rank Matrix Factorization (INLRMF), which can ...
Abstract: Single-cell RNA-seq data clustering plays an important role in understanding the heterogeneity of different tissues at the cellular level by differentiating various cell types, which ...
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