Results 41 to 50 of about 3,318,937 (295)

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Confidence of AOI-HEP Mining Pattern [PDF]

, 2018
Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) has been proven can mine frequent and similar patterns and the finding AOI-HEP patterns will be underlined with confidence mining pattern for each AOI-HEP pattern either frequent or ...
Trisetyarso, Agung; Bina Nusantara university, Randriatoamanana, Richard; Ecole Centrale de Nantes, Spits Warnars, Harco Leslie Hendric; Bina Nusantara University   +2 more
core   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

New approaches to weighted frequent pattern mining [PDF]

, 2007
Researchers have proposed frequent pattern mining algorithms that are more efficient than previous algorithms and generate fewer but more important patterns.
Yun, Unil
core   +3 more sources

Frequent Pattern mining with closeness Considerations: Current State of the art [PDF]

, 2011
Due to rising importance in frequent pattern mining in the field of data mining research, tremendous progress has been observed in fields ranging from frequent itemset mining in transaction databases to numerous research frontiers. An elaborative note on
Dr. J.L. Rana, Anurag Choubey
core  

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

A Comprehensive Study on Frequent Pattern Mining and Clustering Categories for Topic Detection in Persian Text Stream

IEEE Access
Topic detection in social networks is extracting and summarizing frequent posts about an event or subject. Topic detection is a complex process and depends on language because it somehow needs to analyze text.
Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani   +2 more
doaj   +1 more source

THE IMPLEMENTATION OF HESITANT FUZZY SPATIAL CO-LOCATION PATTERN MINING ALGORITHM BASED ON PYTHON [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
As one of the important research directions in the spatial data mining, spatial co-location pattern mining aimed at finding the spatial features whose the instances are frequent co-locate in neighbouring domain.
Z. W. Liu, Z. W. Liu, B. Wei, B. Wei, C. L. Kang, C. L. Kang, J. W. Jiang, J. W. Jiang   +7 more
doaj   +1 more source

Characteristics and Outcomes of Male Participants in a Multicenter Longitudinal Australian Study Cohort

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin, Dylan Hansen, Laura Ross, Gene‐Siew Ngian, Susanna Proudman, Gabor Major, Maryam Tabesh, Mandana Nikpour, Jennifer Walker, Lauren Host, Nava Ferdowsi, Alannah Quinlivan, Wendy Stevens, Joanne Sahhar, Diane Apostolopoulos   +14 more
wiley   +1 more source

Grasping frequent subgraph mining for bioinformatics applications

BioData Mining, 2018
Searching for interesting common subgraphs in graph data is a well-studied problem in data mining. Subgraph mining techniques focus on the discovery of patterns in graphs that exhibit a specific network structure that is deemed interesting within these ...
Aida Mrzic, Pieter Meysman, Wout Bittremieux, Pieter Moris, Boris Cule, Bart Goethals, Kris Laukens   +6 more
doaj   +1 more source