Results 71 to 80 of about 2,131,360 (300)

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Sequential Hierarchical Pattern Clustering [PDF]

, 2009
Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance.
Niranjan, Mahesan, Farran, Bassam, Mahesan Niranjan, Ramanan, Amirthalingam, Bassam Farran, Amirthalingam Ramanan   +5 more
core   +2 more sources

Clustering graph data: the roadmap to spectral techniques

Discover Artificial Intelligence
Graph data models enable efficient storage, visualization, and analysis of highly interlinked data, by providing the benefits of horizontal scalability and high query performance.
Rahul Mondal, Evelina Ignatova, Daniel Walke, David Broneske, Gunter Saake, Robert Heyer   +5 more
doaj   +1 more source

Comparative Analysis of Predictive Algorithms for Performance Measurement

IEEE Access
Predictive algorithms, also known as mathematical models, utilize historical data to accurately predict future outcomes. These algorithms identify patterns and relationships within the data, resulting in precise predictions.
Swati Gupta, Bal Kishan, Preeti Gulia
doaj   +1 more source

Fuzzy clustering algorithms and validity indices for distributed data [PDF]

, 2014
This chapter presents a unified framework to generalize a number of fuzzy clustering algorithms to handle distributed data in an exact way, i.e., with no approximation of results with respect to their original centralized versions.
R. J. G. B. Campello, M. C. Naldi, Vendramin, L., Campello, Ricardo R.J.G.B., Campello, Ricardo José Gabrielli Barreto, L. Vendramin, Naldi, M.C.   +6 more
core   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Large scale clustering of protein sequences with FORCE - a layout based heuristic for weighted cluster editing [PDF]

, 2007
Wittkop T, Baumbach J, Lobo FP, Rahmann S. Large scale clustering of protein sequences with FORCE - a layout based heuristic for weighted cluster editing. BMC Bioinformatics.
Wittkop, Tobias, Tobias Wittkop, Baumbach Jan, Lobo Francisco P, Sven Rahmann, Francisco P Lobo, Rahmann Sven, Jan Baumbach, Baumbach, Jan, Wittkop Tobias, Lobo, Francisco P., Rahmann, Sven   +11 more
core   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Fermion cluster algorithms [PDF]

Nuclear Physics B - Proceedings Supplements, 2000
LATTICE99 (algorithms & Machines), 3 pages, 4 eps figures, espcrc2 ...
openaire   +3 more sources