Results 11 to 20 of about 776,218 (307)

Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers

European Radiology Experimental, 2023
High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed molecular studies have revealed marked intra-patient heterogeneity at the tumour microenvironment level, likely contributing to poor prognosis.
Sepideh Hatamikia, Stephanie Nougaret, Camilla Panico, Giacomo Avesani, Camilla Nero, Luca Boldrini, Evis Sala, Ramona Woitek   +7 more
doaj   +1 more source

A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data

BMC Bioinformatics, 2020
Background Single-cell RNA sequencing (scRNA-seq) provides an effective tool to investigate the transcriptomic characteristics at the single-cell resolution.
Yang Qi, Yang Guo, Huixin Jiao, Xuequn Shang   +3 more
doaj   +1 more source

Deriving semantics from WS-BPEL specifications of parallel business processes on an example [PDF]

Компьютерные исследования и моделирование, 2015
WS-BPEL is a widely accepted standard for specification of business distributed and parallel processes. This standard is a mismatch of algebraic and Petri net paradigms.
Vladimir Dimitrov
doaj   +1 more source

Abstract Constraint Data Types [PDF]

, 2015
Martin Wirsing is one of the earliest contributors to the area of Algebraic Specification (e.g., [2]), which he explored in a variety of domains over many years. Throughout his career, he has also inspired countless researchers in related areas.
Fiadeiro, José Luiz, Orejas Valdés, Fernando   +1 more
openaire   +3 more sources

Connectivity between Abstraction Layers in Declarative ADT-Based Problem-Solving Processes

Informatics in Education, 2009
For over a decade, a declarative approach to problem solving based on the use of abstract data types (ADTs) has been taught to high-school students as part of the logic programming instructional unit.
Bruria HABERMAN, Zahava SCHERZ
doaj   +1 more source

Brain Data Standards - A method for building data-driven cell-type ontologies

Scientific Data, 2023
Large-scale single-cell ‘omics profiling is being used to define a complete catalogue of brain cell types, something that traditional methods struggle with due to the diversity and complexity of the brain.
Shawn Zheng Kai Tan, Huseyin Kir, Brian D. Aevermann, Tom Gillespie, Nomi Harris, Michael J. Hawrylycz, Nikolas L. Jorstad, Ed S. Lein, Nicolas Matentzoglu, Jeremy A. Miller, Tyler S. Mollenkopf, Christopher J. Mungall, Patrick L. Ray, Raymond E. A. Sanchez, Brian Staats, Jim Vermillion, Ambika Yadav, Yun Zhang, Richard H. Scheuermann, David Osumi-Sutherland   +19 more
doaj   +1 more source

Mini-Projects Development in Computer Science - Students' Use of Organization Tools

Informatics in Education, 2005
This paper describes a study aimed at identifying different profiles of students' project development processes. Specifically, we assessed the use of abstract data types for the development of knowledge-based projects. The concept of abstract data types
Zahava SCHERZ, Bruria HABERMAN
doaj   +1 more source

Inferring person-to-person networks of Plasmodium falciparum transmission: are analyses of routine surveillance data up to the task?

Malaria Journal, 2022
Background Inference of person-to-person transmission networks using surveillance data is increasingly used to estimate spatiotemporal patterns of pathogen transmission.
John H. Huber, Michelle S. Hsiang, Nomcebo Dlamini, Maxwell Murphy, Sibonakaliso Vilakati, Nomcebo Nhlabathi, Anita Lerch, Rasmus Nielsen, Nyasatu Ntshalintshali, Bryan Greenhouse, T. Alex Perkins   +10 more
doaj   +1 more source

Implementation of Abstract Data Types in Dynamic Sketches for Learning Geometry

Informatics in Education, 2014
A long-term observation of students' usage of a dynamic geometry in a classroom at all grade levels has challenged to develop an approach for learning and understanding mathematics in an easier way for both students and teachers. The paper deals with the
Egle JASUTE, Valentina DAGIENE
doaj   +1 more source

Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

Genome Biology, 2023
Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells.
Agnieszka Geras, Shadi Darvish Shafighi, Kacper Domżał, Igor Filipiuk, Alicja Rączkowska, Paulina Szymczak, Hosein Toosi, Leszek Kaczmarek, Łukasz Koperski, Jens Lagergren, Dominika Nowis, Ewa Szczurek   +11 more
doaj   +1 more source