Results 131 to 140 of about 544,008 (293)

The Role of Microarray in Modern Sequencing: Statistical Approach Matters in a Comparison Between Microarray and RNA-Seq. [PDF]

BioTech (Basel)
Raplee ID, Borkar SA, Yin L, Venturi GM, Shen J, Chang KF, Nepal U, Sleasman JW, Goodenow MM.   +8 more
europepmc   +1 more source

BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis

Bioinform., 2005
S. Durinck, Y. Moreau, A. Kasprzyk, Sean Davis, B. Moor, A. Brazma, W. Huber   +6 more
semanticscholar   +1 more source

Large-Scale Monitoring of Host Cell Gene Expression during HIV-1 Infection Using cDNA Microarrays

, 2000
Gary Geiss, Roger E. Bumgarner, Mahru C. An, Michael B. Agy, Angélique B. van ’t Wout, Erick Hammersmark, Victoria S. Carter, David A. Upchurch, James I. Mullins, Michael G. Katze   +9 more
openalex   +1 more source

Detecting Gene Copy Number Fluctuations in Tumor Cells by Microarray Analysis of Genomic Representations [PDF]

, 2000
R. Lucito
openalex   +1 more source

NDRG1‐Driven Lactate Accumulation Promotes Lung Adenocarcinoma Progression Through the Induction of an Immunosuppressive Microenvironment

Advanced Science, EarlyView.
NDRG1 drives lactate accumulation and histone lactylation in lung adenocarcinoma, promoting immunosuppression via M2 macrophage polarization and CD8⁺ T cell inhibition. High NDRG1 expression correlates with poor prognosis, an immunosuppressive microenvironment, and immunotherapy resistance.
Gujie Wu, Hongxia Cheng, Jiacheng Yin, Yuansheng Zheng, Haochun Shi, Binyang Pan, Ming Li, Mengnan Zhao, Jiaqi Liang, Yunyi Bian, Guangyao Shan, Guoshu Bi, Weigang Guo, Lin Wang, Yiwei Huang   +14 more
wiley   +1 more source

Evaluation of the HumanMethylationEPIC v2.0 Bead Chip Using Low Quality and Quantity DNA Samples. [PDF]

Biol Proced Online
Poggiali B, Dupont ME, Kampmann ML, Vidaki A, Pereira V, Børsting C, Tfelt-Hansen J, Andersen JD.   +7 more
europepmc   +1 more source

lumi: a pipeline for processing Illumina microarray

Bioinform., 2008
Pan Du, W. Kibbe, Simon M. Lin
semanticscholar   +1 more source

Using DNA Microarrays to Study Host-Microbe Interactions

, 2000
Craig Cummings
openalex   +1 more source

The microarray revolution [PDF]

Nature Reviews Genetics, 2007
openaire   +1 more source

MALMPS: A Machine Learning‐Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer

Advanced Science, EarlyView.
Chen et al. identified a metabolic gene prognostic signature with machine‐learning framework and assessed the prognostic value in independent CRC cohorts. The metabolic signature subtypes are characterized by specific metabolic and proteomic characteristics, and associated with distinct molecular pathway and therapeutic potential.
Hao Chen, Ze Wang, Chenglong Sun, Yang Zhong, Yuan Liu, Yikun Li, Tongchao Zhang, Yuan Zhang, Xingyu Zhu, Leping Li, Feifei Teng, Ming Lu, Wei Chong   +12 more
wiley   +1 more source