Results 91 to 100 of about 4,883,203 (354)

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

Molecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi, Janelle‐Cheri Millen, Romela Irene Ramos, Jennifer A. Linehan, Timothy G. Wilson, Dave S. B. Hoon, Matias A. Bustos   +6 more
wiley   +1 more source

Using Google Analytics Data to Expand Discovery and Use of Digital Archival Content [PDF]

, 2013
This article presents opportunities for the use of Google Analytics, a popular and freely available web analytics tool, to inform decision making for digital archivists managing online digital archives content.
Szajewski, Michael
core   +1 more source

Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes

Nature Communications, 2019
Efforts to precisely identify tumor human leukocyte antigen (HLA) bound peptides capable of mediating T cell-based tumor rejection still face important challenges.
Chloé Chong, Markus Müller, HuiSong Pak, Dermot Harnett, Florian Huber, Delphine Grun, M. Leleu, Aymeric Auger, M. Arnaud, Brian J. Stevenson, Justine Michaux, Ilija Bilić, Antje Hirsekorn, Lorenzo Calviello, L. Simó-Riudalbas, E. Planet, J. Lubiński, M. Bryśkiewicz, M. Wiznerowicz, I. Xenarios, Lin Zhang, D. Trono, A. Harari, U. Ohler, G. Coukos, M. Bassani-Sternberg   +25 more
semanticscholar   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

Molecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin, Audrey Vinchent, Marie Fernandes, Isabelle Damour, Agathe Laratte, Rémi Tellier, Gabriella O. Estevam, Jean‐Pascal Meneboo, Céline Villenet, Clotilde Descarpentries, James S. Fraser, Martin Figeac, Alexis B. Cortot, Etienne Rouleau, David Tulasne   +14 more
wiley   +1 more source

Associative Analysis in Statistics [PDF]

Revista Română de Statistică, 2015
In the last years, the interest in technologies such as in-memory analytics and associative search has increased. This paper explores how you can use in-memory analytics and an associative model in statistics.
Mihaela Muntean
doaj  

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Talent scouting and standardizing fitness data in football club: systematic review

Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación
Talent scouting and fitness data standardization in professional football clubs have become central topics in recent research. This review aims to consolidate advancements in technology, big data, and data analytics, examining their roles in optimizing ...
Moch Yunus, Ronal Surya Aditya, Nanang Tri Wahyudi, Daifallah M. Al Razeeni, Reem Iafi AlMutairi   +4 more
doaj   +1 more source

An Analytic Model to Optimize Search Results Using Collaborative Searching Methods

Procedia Computer Science, 2015
AbstractIn this paper, we present the idea of an ‘Analytic Search Engine Model’ that utilizes the regularly generated social media data for opinion formation. It combines the user ratings from different SNS platforms and analyzes them to form a collective opinion about a local business and ranks results in terms of this opinion formation, which ensures
Partha Sarathi Chakraborty, Semanti Sinha Mahapatra, Analp Pathak   +2 more
openaire   +2 more sources

Alexandria: Extensible Framework for Rapid Exploration of Social Media

, 2015
The Alexandria system under development at IBM Research provides an extensible framework and platform for supporting a variety of big-data analytics and visualizations.
Heath III, Fenno F., Hull, Richard, Khabiri, Elham, Riemer, Matthew, Sukaviriya, Noi, Vaculin, Roman   +5 more
core   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source