A5100387222- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Cancer Genomics and Diagnostics
- Gene Regulatory Network Analysis
- Algorithms and Data Compression
- Advanced Measurement and Metrology Techniques
- Neurogenesis and neuroplasticity mechanisms
- RNA modifications and cancer
- Zebrafish Biomedical Research Applications
- Machine Learning in Bioinformatics
- Congenital heart defects research
- Advanced Optical Sensing Technologies
- Optical Systems and Laser Technology
- Gene expression and cancer classification
- Cell Image Analysis Techniques
- Sparse and Compressive Sensing Techniques
- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
Allen Institute
2023
Allen Institute for Brain Science
2023
University of California, Los Angeles
2022-2023
Shanghai Institutes for Biological Sciences
2019-2020
Chinese Academy of Sciences
2019-2020
Shandong Normal University
2020
Shanghai Institute of Nutrition and Health
2019-2020
Abstract The brain controls nearly all bodily functions via spinal projecting neurons (SPNs) that carry command signals from the to cord. However, a comprehensive molecular characterization of brain-wide SPNs is still lacking. Here we transcriptionally profiled total 65,002 SPNs, identified 76 region-specific SPN types, and mapped these types into companion atlas whole mouse 1 . This taxonomy reveals three-component organization SPNs: (1) molecularly homogeneous excitatory cortex, red...
Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNA-seq (scRNA-seq/snRNA-seq) data has been used to elucidate cell-type GRNs; however, the accuracy speed current scRNAseq-based GRN approaches are suboptimal. Here, we present Cell INtegrative (SCING), a gradient boosting mutual information-based approach for identifying robust GRNs from scRNA-seq, snRNA-seq, spatial transcriptomics data. Performance evaluation using...
A new clustering membrane system using a complex chained P (CCP) based on evolutionary mechanism is designed, developed, implemented, and tested. The purpose of CCP to solve problems. In CCP, two kinds evolution rules in different membranes are used enhance the global search ability. first kind traditional modified particle swarm optimization (PSO) techniques evolve objects. Another differential (DE) introduced further improve communication adopted accelerate convergence avoid prematurity....
Abstract Tissue-specific transcription factors are frequently inactivated in cancer. To fully dissect the heterogeneity of such tumor suppressor events requires single-cell resolution, yet this is challenging because high dropout rate. Here we propose a simple effective computational strategy called SCIRA to infer regulatory activity tissue-specific at resolution and use tool identify RNA-Seq cancer studies. We demonstrate that preferentially corresponding cells, suggesting these driver...
Abstract Inferring the activity of transcription factors in single cells is a key task to improve our understanding development and complex genetic diseases. This is, however, challenging due relatively large dropout rate noisy nature single-cell RNA-Seq data. Here we present novel statistical inference framework called SCIRA (Single Cell Inference Regulatory Activity), which leverages power large-scale bulk datasets infer high-quality tissue-specific regulatory networks, from estimates can...
Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNAseq (scRNAseq/snRNAseq) data has been used to elucidate cell-type GRNs; however, the accuracy speed current scRNAseq-based GRN approaches are suboptimal. Here, we present Cell INtegrative (SCING), a gradient boosting mutual information based approach for identifying robust GRNs from scRNAseq, snRNAseq, spatial transcriptomics data. Performance evaluation using held-out...
Vibration is a widespread phenomenon in nature, and vibration detection analysis of objects can improve the safety precision equipment. However, real-time performance existing laser Doppler interferometry data processing system remains an ongoing challenge. This paper implements software based on overlapping frames, according to method spectrum analyzer RF signal measurement parallel programming method. Under different overlap rates, this compares difference refresh rate caused by three...