Results 61 to 70 of about 2,599,171 (311)

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

Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure

IEEE Access, 2023
High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items.
Hyeonmo Kim, Taewoong Ryu, Chanhee Lee, Sinyoung Kim, Bay Vo, Jerry Chun-Wei Lin, Unil Yun   +6 more
doaj   +1 more source

Identifying and characterising a plant GH1 β‐glucosidase that exhibits hydrolytic activity on N‐linked glucopyranoside

FEBS Open Bio, EarlyView.
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli, Carlotta Chiesa, Maher Abou Hachem, Ditte Hededam Welner   +3 more
wiley   +1 more source

An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns

IEEE Access, 2020
Mining frequent inter-transaction patterns (ITPs) from large databases is both useful and of interest. Since frequent inter-transaction patterns (FITPs) are discovered across transactions in a transaction database (TD), the number of patterns is very ...
Thanh-Ngo Nguyen, Loan T. T. Nguyen, Bay Vo, Ngoc-Thanh Nguyen, Trinh D. D. Nguyen   +4 more
doaj   +1 more source

Periodic Pattern Mining a Algorithms and Applications [PDF]

, 2013
Owing to a large number of applications periodic pattern mining has been extensively studied for over a decade Periodic pattern is a pattern that repeats itself with a specific period in a give sequence Periodic patterns can be mined from datasets like
Shashi Mogalla, G.N.V.G. Sirisha, G.V. Padma Raju   +2 more
core  

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Vessel Trajectory Data Mining: A Review

IEEE Access
Recent advancements in sensor and tracking technologies have facilitated the real-time tracking of marine vessels as they traverse the oceans. As a result, there is an increasing demand to analyze these datasets to derive insights into vessel movement ...
Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis   +2 more
doaj   +1 more source

Mining Emerging Gradual Patterns [PDF]

Advances in Intelligent Systems Research, 2015
Mining emerging patterns aims at contrasting data sets and identifying itemsets that characterise a data set by contrast to a reference data set, so as to capture and highlight their differences. This paper considers the case of emerging gradual patterns, to extract discriminant attribute co-variations.
Laurent, Anne, Lesot, Marie-Jeanne, Rifqi, Maria   +2 more
openaire   +3 more sources

Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining [PDF]

, 2008
Blohm S, Cimiano P. Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining. In: Adrian B, Neumann G, Troussov A, Popov B, eds.
Troussov, Alexander, Adrian, Benjamin, Neumann, Günter, Popov, Borislav, Blohm, Sebastian, Cimiano, Philipp ; https://orcid.org/   +5 more
core  

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