Direct cell reprogramming: approaches, mechanisms and progress
The reprogramming of somatic cells with defined factors, which converts cells from one
lineage into cells of another, has greatly reshaped our traditional views on cell identity and …
lineage into cells of another, has greatly reshaped our traditional views on cell identity and …
Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma
J Calderaro, TP Seraphin, T Luedde, TG Simon - Journal of hepatology, 2022 - Elsevier
Hepatocellular carcinoma (HCC) currently represents the fifth most common malignancy and
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference
Abstract Knowledge of cell type composition in disease relevant tissues is an important step
towards the identification of cellular targets of disease. We present MuSiC, a method that …
towards the identification of cellular targets of disease. We present MuSiC, a method that …
Technological advances in cancer immunity: from immunogenomics to single-cell analysis and artificial intelligence
Y Xu, GH Su, D Ma, Y Xiao, ZM Shao… - Signal Transduction and …, 2021 - nature.com
Immunotherapies play critical roles in cancer treatment. However, given that only a few
patients respond to immune checkpoint blockades and other immunotherapeutic strategies …
patients respond to immune checkpoint blockades and other immunotherapeutic strategies …
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression
of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural …
of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural …
Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity
Almost all biomedical research to date has relied upon mean measurements from cell
populations, however it is well established that what it is observed at this macroscopic level …
populations, however it is well established that what it is observed at this macroscopic level …
An introduction to the analysis of single-cell RNA-sequencing data
The recent development of single-cell RNA sequencing has deepened our understanding of
the cell as a functional unit, providing new insights based on gene expression profiles of …
the cell as a functional unit, providing new insights based on gene expression profiles of …
Normalization methods on single-cell RNA-seq data: an empirical survey
N Lytal, D Ran, L An - Frontiers in genetics, 2020 - frontiersin.org
Data normalization is vital to single-cell sequencing, addressing limitations presented by low
input material and various forms of bias or noise present in the sequencing process. Several …
input material and various forms of bias or noise present in the sequencing process. Several …
Gene expression distribution deconvolution in single-cell RNA sequencing
Single-cell RNA sequencing (scRNA-seq) enables the quantification of each gene's
expression distribution across cells, thus allowing the assessment of the dispersion, nonzero …
expression distribution across cells, thus allowing the assessment of the dispersion, nonzero …
Indole-3-propionic acid protects against heart failure with preserved ejection fraction
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a common but
poorly understood form of heart failure, characterized by impaired diastolic function. It is …
poorly understood form of heart failure, characterized by impaired diastolic function. It is …