Results 61 to 70 of about 27,010,024 (292)

Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays

BMC Bioinformatics, 2010
Background Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays ...
Bajgot Mateja, Stiglic Gregor, Kokol Peter   +2 more
doaj   +1 more source

Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing

Advanced Materials Technologies, EarlyView.
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi, Osman Gul, Wonhee Lee, Seokjoo Cho, Yong‐Jin Yoon, Paola Saccomandi, Inkyu Park   +6 more
wiley   +1 more source

DNA microarray technology in medical diagnostics

Zdravniški Vestnik, 2007
Background: DNA microarray technology opened a completely new venue in the biomedical research. By allowing to follow the expression of thousands of genes in a single experiment (ideally we can follow the expression of the entire genome), the microarray ...
Damjana Rozman, Peter Juvan
doaj  

Triple-target microarray experiments: a novel experimental strategy

BMC Genomics, 2004
Background High-throughput, parallel gene expression analysis by means of microarray technology has become a widely used technique in recent years. There are currently two main dye-labelling strategies for microarray studies based on custom-spotted cDNA ...
Cooke Howard J, Roy Douglas, Costa Yael, Forster Thorsten, Maratou Klio   +4 more
doaj   +1 more source

Dual Role of Tamoxifen in Enhancing STING and CEACAM1 Expression to Prime a Favorable Tumor Microenvironment for Anti‐TIM3 Immunotherapy

Advanced Science, EarlyView.
Anti‐PD‐1/PD‐L1 blockade has revolutionized cancer immunotherapy, but is ineffective against endocrine‐treated (i.e., Tamoxifen), relapsed ER+ breast cancer (BC) patients. This study provides insight into the sub‐optimal response of ER+BCs to anti‐PD‐1/PD‐L1 blockade – highlighting the induction of STING and the CEACAM1/TIM3 axis after chronic ...
Marvin Angelo E Aberin, Saurabh Singh, Soumya Chatterjee, Guang‐Zhi Sui, Yi‐Fu Wang, Ya‐Ting Lu, Yu‐Ling Lee, Kun‐Yuan Lin, Joy Khag, Ta‐Yu Liu, Shao‐Han Chang, Wai‐Mui Cheung, Hsiao‐Chin Hong, Ren‐Jun Hsu, Chen‐Yang Shen, Chia‐Wei Li, Weng‐Lang Yang, Yao‐Ming Chang, Shih‐Yu Chen, Chandan Guha, Shu‐Ping Wang   +20 more
wiley   +1 more source

New methods to analyse microarray data that partially lack a reference signal. [PDF]

, 2009
BACKGROUND: Microarray-based Comparative Genomic Hybridisation (CGH) has been used to assess genetic variability between bacterial strains. Crucial for interpretation of microarray data is the availability of a reference to compare signal intensities to ...
Lindsay Jodi A, Fluit, AC, Rob JL Willems, Bonten, MJ, Willems Rob JL, Bonten Marc JM, Ad C Fluit, Carpaij, N, Lindsay, JA, Willems, RJ, Marc JM Bonten, Fluit Ad C, Jodi A Lindsay, Neeltje Carpaij, Carpaij Neeltje   +14 more
core   +1 more source

Loss of E3 Ubiquitin Ligase RINES via CpG Methylation Relieves Suppression of STAT3 and MYC, Facilitating Multiple Tumorigeneses

Advanced Science, EarlyView.
Dysregulated protein modifications drive tumorigenesis. RINES, an E3 ubiquitin ligase, represses tumor cell proliferation and metastasis by facilitating RING domain‐dependent, ubiquitin–proteasome‐mediated degradation of STAT3 and MYC, which consequently restrains cancer stemness and oncogenic progression.
Lili Li, Ka Man Ng, Xingsheng Shu, Xiaoxue Chai, Kai Yau Wong, Gopesh Srivastava, Anthony T.C. Chan, Wai Yee Chan, Qian Tao   +8 more
wiley   +1 more source

A novel neural network approach to cDNA microarray image segmentation [PDF]

, 2013
This is the post-print version of the Article. The official published version can be accessed from the link below. Copyright @ 2013 Elsevier.Microarray technology has become a great source of information for biologists to understand the workings of DNA ...
Zineddin, B, Zeng, N, Liu, X, Wang, Z, Liang, J, Li, Y, Cao, J, Du, M   +7 more
core   +1 more source

Robust gene selection methods using weighting schemes for microarray data analysis

BMC Bioinformatics, 2017
Background A common task in microarray data analysis is to identify informative genes that are differentially expressed between two different states. Owing to the high-dimensional nature of microarray data, identification of significant genes has been ...
Suyeon Kang, Jongwoo Song
doaj   +1 more source

A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis [PDF]

The Scientific World Journal, 2014
Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days. The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification. In this paper,
Jaison Bennet, Chilambuchelvan Arul Ganaprakasam, Kannan Arputharaj   +2 more
openaire   +3 more sources