Results 21 to 30 of about 1,298,199 (120)

Application of Gene Shaving and Mixture Models to Cluster Microarray Gene Expression Data

Cancer Informatics, 2007
Researchers are frequently faced with the analysis of microarray data of a relatively large number of genes using a small number of tissue samples. We examine the application of two statistical methods for clustering such microarray expression data ...
S. Wen, R. Bean, G.J. McLachlan, K-A. Do
doaj  

Cloning of DNA oligo pools for in vitro expression

STAR Protocols, 2022
Summary: Oligo library pools are powerful tools for systematic investigation of genetic and transcriptomic machinery such as promoter function and gene regulation, non-coding RNAs, or RNA modifications.
Anna Uzonyi, Ronit Nir, Schraga Schwartz
doaj   +1 more source

Advancing Cancer Systems Biology: Introducing the Center for the Development of a Virtual Tumor, CViT

Cancer Informatics, 2007
Integrative cancer biology research relies on a variety of data-driven computational modeling and simulation methods and techniques geared towards gaining new insights into the complexity of biological processes that are of critical importance for cancer
Sean Martin, Le Zhang, Thomas S. Deisboeck   +2 more
doaj  

Perturbation of Interaction Networks for Application to Cancer Therapy

Cancer Informatics, 2007
We present a computational approach for studying the effect of potential drug combinations on the protein networks associated with tumor cells.
Steven J. M. Jones, Asim S. Siddiqui, Adrian P. Quayle   +2 more
doaj  

SCLC TumorMiner: A genomics platform for small cell lung cancer precision oncology

iScience
Summary: Small cell lung cancer (SCLC) is among the most aggressive malignancies. Unlike many other cancers, it is not represented in The Cancer Genome Atlas, and available datasets are fragmented across institutions, disease stages, and treatment ...
Fathi Elloumi, Anjali Dhall, Daiki Taniyama, Augustin Luna, Yasuhiro Arakawa, Sudhir Varma, Yanghsin Wang, Anisha Tehim, Mark Raffeld, Kenneth Aldape, Christophe Redon, Roshan Shrestha, William Reinhold, Mirit Aladjem, Jaydira Del Rivero, Nitin Roper, Anish Thomas, Yves Pommier   +17 more
doaj   +1 more source

Development of OX40 agonists for canine cancer immunotherapy

iScience, 2022
Summary: Recent breakthroughs in cancer immunotherapy have provided unprecedented clinical benefits to human cancer patients. Cancer is also one of the most common causes of death in pet dogs.
Damien Ruiz, Chloe Haynes, Jonathan Marable, Chetan Pundkar, Rebecca L. Nance, Deepa Bedi, Payal Agarwal, Amol S. Suryawanshi, Amarjit Mishra, Bruce F. Smith, Maninder Sandey   +10 more
doaj   +1 more source

Exploratory Visual Analysis of Statistical Results from Microarray Experiments Comparing High and Low Grade Glioma

Cancer Informatics, 2007
The biological interpretation of gene expression microarray results is a daunting challenge. For complex diseases such as cancer, wherein the body of published research is extensive, the incorporation of expert knowledge provides a useful analytical ...
Jason H. Moore, Mark A. Israel, David M. Reif   +2 more
doaj  

Logical and experimental modeling of cytokine and eicosanoid signaling in psoriatic keratinocytes

iScience, 2021
Summary: Psoriasis is a chronic skin disease, in which immune cells and keratinocytes keep each other in a state of inflammation. It is believed that phospholipase A2 (PLA2)-dependent eicosanoid release plays a key role in this.
Eirini Tsirvouli, Felicity Ashcroft, Berit Johansen, Martin Kuiper   +3 more
doaj   +1 more source

Deciphering sphingolipid biosynthesis dynamics in Arabidopsis thaliana cell cultures: Quantitative analysis amid data variability

iScience
Summary: Sphingolipids are pivotal for plant development and stress responses. Growing interest has been directed toward fully comprehending the regulatory mechanisms of the sphingolipid pathway.
Abraham Osinuga, Ariadna González Solís, Rebecca E. Cahoon, Adil Alsiyabi, Edgar B. Cahoon, Rajib Saha   +5 more
doaj   +1 more source

AutoAnalyze in Systems Biology

Bioinformatics and Biology Insights, 2019
AutoAnalyze is a highly customizable framework for the visualization and analysis of large-scale model graphs. Originally developed for use in the automotive domain, it also supports efficient computation within molecular networks represented by reaction
Christian Saad, Bernhard Bauer, Ulrich R Mansmann, Jian Li   +3 more
doaj   +1 more source