Biological sequence classification: A review on data and general methods
C Ao, S Jiao, Y Wang, L Yu, Q Zou - Research, 2022 - spj.science.org
With the rapid development of biotechnology, the number of biological sequences has
grown exponentially. The continuous expansion of biological sequence data promotes the …
grown exponentially. The continuous expansion of biological sequence data promotes the …
Research progress of single-cell transcriptome sequencing in autoimmune diseases and autoinflammatory disease: A review
L Zeng, K Yang, T Zhang, X Zhu, W Hao, H Chen… - Journal of …, 2022 - Elsevier
Autoimmunity refers to the phenomenon that the body's immune system produces antibodies
or sensitized lymphocytes to its own tissues to cause an immune response. Immune …
or sensitized lymphocytes to its own tissues to cause an immune response. Immune …
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global
pandemic of coronavirus disease 2019 (COVID-19) since December 2019 that has led to …
pandemic of coronavirus disease 2019 (COVID-19) since December 2019 that has led to …
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
Single-cell RNA sequencing (scRNA-seq) is a revolutionary breakthrough that determines
the precise gene expressions on individual cells and deciphers cell heterogeneity and …
the precise gene expressions on individual cells and deciphers cell heterogeneity and …
Machine learning-based prediction model for distant metastasis of breast cancer
H Duan, Y Zhang, H Qiu, X Fu, C Liu, X Zang… - Computers in Biology …, 2024 - Elsevier
Background Breast cancer is the most prevalent malignancy in women. Advanced breast
cancer can develop distant metastases, posing a severe threat to the life of patients …
cancer can develop distant metastases, posing a severe threat to the life of patients …
Critical downstream analysis steps for single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) has enabled us to study biological questions at
the single-cell level. Currently, many analysis tools are available to better utilize these …
the single-cell level. Currently, many analysis tools are available to better utilize these …
webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration
Integrative analysis of single-cell RNA-sequencing (scRNA-seq) data with spatial data for
the same species and organ would provide each cell sample with a predictive spatial …
the same species and organ would provide each cell sample with a predictive spatial …
Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data
With the development of artificial intelligence (AI) technologies and the availability of large
amounts of biological data, computational methods for proteomics have undergone a …
amounts of biological data, computational methods for proteomics have undergone a …
Integration of computational analysis and spatial transcriptomics in single-cell studies
R Wang, G Peng, PPL Tam… - Genomics, Proteomics & …, 2023 - academic.oup.com
Recent advances of single-cell transcriptomics technologies and allied computational
methodologies have revolutionized molecular cell biology. Meanwhile, pioneering …
methodologies have revolutionized molecular cell biology. Meanwhile, pioneering …
Revealing the molecular landscape of human placenta: a systematic review and meta-analysis of single-cell RNA sequencing studies
BACKGROUND With increasing significance of developmental programming effects
associated with placental dysfunction, more investigations are devoted to improving the …
associated with placental dysfunction, more investigations are devoted to improving the …