Results 171 to 180 of about 1,836,012 (321)
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature. [PDF]
Singhal A, Simmons M, Lu Z.
europepmc +1 more source
Homologous expression and purification of human HAX‐1 for structural studies
This research protocol provides detailed instructions for cloning, expressing, and purifying large quantities of the intrinsically disordered human HAX‐1 protein, N‐terminally fused to a cleavable superfolder GFP, from mammalian cells. HAX‐1 is predicted to undergo posttranslational modifications and to interact with membranes, various cellular ...
Mariana Grieben
wiley +1 more source
Use of recycled waste paper as fiber reinforcement for polypropylene–relationship of fiber extraction process and mechanical properties of the composites [PDF]
Andrea Scholten, Dieter Meiners
openalex +1 more source
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Relationship extraction between entities with long distance dependencies and noise based on semantic and syntactic features. [PDF]
Wang L, Wu F, Liu X, Cao J, Ma M, Qu Z.
europepmc +1 more source
The extraction of relationship feature information of “User-Movie”.
Wang Xibin +3 more
openalex +2 more sources
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan +6 more
wiley +1 more source

