A5101693892- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Molecular Biology Techniques and Applications
- Sesame and Sesamin Research
- Nitrogen and Sulfur Effects on Brassica
- Anomaly Detection Techniques and Applications
- Mathematical Biology Tumor Growth
- Video Analysis and Summarization
- Sunflower and Safflower Cultivation
- Gene Regulatory Network Analysis
- Hops Chemistry and Applications
- Human Pose and Action Recognition
- Biopolymer Synthesis and Applications
- Microbial Metabolic Engineering and Bioproduction
Virginia Tech
2021-2022
Zhejiang University
2017
Abstract Missing values are a major issue in quantitative proteomics analysis. While many methods have been developed for imputing missing high-throughput data, comparative assessment of imputation accuracy remains inconclusive, mainly because mechanisms contributing to true complex and existing evaluation methodologies imperfect. Moreover, few studies provided an outlook future methodological development. We first re-evaluate the performance eight representative targeting three typical...
Abstract Motivation Data normalization is essential to ensure accurate inference and comparability of gene expression measures across samples or conditions. Ideally, data should be rescaled based on consistently expressed reference genes. However, normalize biologically diverse samples, the most commonly used genes exhibit striking variability size-factor distribution-based methods can problematic when amount asymmetry in differential significant. Results We report an efficient data-driven...
Abstract Background: Missing values are a major issue in quantitative proteomics data analysis. While many methods have been developed for imputing missing high-throughput data, comparative assessment on the accuracy of existing remains inconclusive, mainly because true mechanisms complex and evaluation methodologies imperfect. Moreover, few studies provided an outlook current future development.Results: We first report eight representative collectively targeting three typical mechanisms....
Complex tissues are composite ecological systems whose components interact with each other to create a unique physiological or pathophysiological state distinct from that found in tissue microenvironments. To explore this ground yet dynamic state, molecular profiling of bulk and mathematical deconvolution can be jointly used characterize heterogeneity as an aggregate molecularly cell subtypes. We first introduce efficient fully unsupervised method, namely the Convex Analysis Mixtures –...
Abstract Missing values are a major issue in quantitative proteomics analysis. While many methods have been developed for imputing missing high-throughput data, comparative assessment of imputation accuracy remains inconclusive, mainly because mechanisms contributing to true complex and existing evaluation methodologies imperfect. Moreover, few studies provided an outlook future methodological development. We first re-evaluate the performance eight representative targeting three typical...
The surge in high-throughput omics data has reshaped the landscape of biological research, underlining need for powerful, user-friendly analysis and interpretation tools. This paper presents GenoCraft, a web-based comprehensive software solution designed to handle entire pipeline processing. GenoCraft offers unified platform featuring advanced bioinformatics tools, covering all aspects analysis. It encompasses range functionalities, such as normalization, quality control, differential...