Cancer Segmentation by Entropic Analysis of Ordered Gene Expression Profiles
Abstract The availability of massive gene expression data has been challenging in terms of how to cure, process, and extract…
Abstract The availability of massive gene expression data has been challenging in terms of how to cure, process, and extract…
Abstract Transcriptome signature reversion (TSR) has been extensively proposed and used to discover new indications for existing drugs (i.e. drug…
Abstract The level of phytohormones such as abscisic acid (ABA) and auxins (Aux) changes dynamically during embryogenesis. Knowledge of the…
Abstract Bisphenol (BP) A is an exogenous endocrine disruptor that mimics hormones closely associated with health complications, e.g., obesity and…
Abstract Wall-associated kinases (WAKs) are receptors that bind pectin or small pectic fragments in the cell wall and play roles…
Abstract Several features of cancer cells such as proliferation, invasion, metastatic spreading, and drug resistance are affected by their interaction…
Abstract The NF-κB family of dimeric transcription factors regulate diverse biological functions. Their cellular expression profiles differ, which lead to…
Abstract Background: Machine learning is now a standard tool for cancer prediction based on gene expression data. However, deep learning…
Abstract The development of high-throughput omics technologies has enabled the quantification of vast amounts of genes and gene products in…
Abstract Background: The roles and clinical values of synaptojanin 2 (SYNJ2) in lung squamous cell carcinoma (LUSC) remain unclear. Methods:…