Results 31 to 40 of about 89,130 (269)

FiGS: a filter-based gene selection workbench for microarray data

BMC Bioinformatics, 2010
Background The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene selection methods are currently available and some of them have shown excellent
Yun Taegyun, Sun Choong-Hyun, Hwang Taeho, Yi Gwan-Su   +3 more
doaj   +1 more source

Pro-MAP: a robust pipeline for the pre-processing of single channel protein microarray data

BMC Bioinformatics, 2022
Background The central role of proteins in diseases has made them increasingly attractive as therapeutic targets and indicators of cellular processes. Protein microarrays are emerging as an important means of characterising protein activity.
Metoboroghene Oluwaseyi Mowoe, Shaun Garnett, Katherine Lennard, Jade Talbot, Paul Townsend, Eduard Jonas, Jonathan Michael Blackburn   +6 more
doaj   +1 more source

Optimization of Cyanine Dye Stability and Analysis of FRET Interaction on DNA Microarrays

Biology, 2016
The application of DNA microarrays for high throughput analysis of genetic regulation is often limited by the fluorophores used as markers. The implementation of multi-scan techniques is limited by the fluorophores’ susceptibility to photobleaching when ...
Marcel von der Haar, Christopher Heuer, Martin Pähler, Kathrin von der Haar, Patrick Lindner, Thomas Scheper, Frank Stahl   +6 more
doaj   +1 more source

Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection

IEEE Access
Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously.
Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya   +3 more
doaj   +1 more source

Clustering column-mean quantile median: a new methodology for imputing missing data

Journal of Engineering and Applied Science, 2022
DNA microarray data sets have been widely explored and used to analyze data without any previous biological background. However, analyzing them becomes challenging if data are missing.
Nourhan Yehia, Manal Abdel Wahed, Mai Said Mabrouk   +2 more
doaj   +1 more source

DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments

Journal of the Royal Statistical Society Series A: Statistics in Society, 2007
Ziang Lu
openalex   +2 more sources

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Analysis with respect to instrumental variables for the exploration of microarray data structures

BMC Bioinformatics, 2006
Background Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various factors structuring the data which should be taken into account. The objective
Schwager Joseph, Wiegand Jan, Facompré Michaël, Baty Florent, Brutsche Martin H   +4 more
doaj   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

Class IIa HDACs forced degradation allows resensitization of oxaliplatin‐resistant FBXW7‐mutated colorectal cancer

Molecular Oncology, EarlyView.
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto, Nicolò Gualandi, Ylenia Cortolezzis, Raffaella Picco, Monica Colitti, Francesca D'Este, Mariachiara Gani, Wayne W. Hancock, Giovanni Terrosu, Cristina Degrassi, Francesca Agostini, Claudio Brancolini, Luigi E. Xodo, Eros Di Giorgio   +13 more
wiley   +1 more source