Results 191 to 200 of about 6,254,795 (351)
Approximation properties of abstract data types
AbstractThe well-known term model constructions for equational abstract data type specifications provide a basis for elementary semantic reasoning, but their models lack the structure necessary for reasoning about relationships between the elements. Based upon the identities supplied in the data type's specification, we define a congruence relation ...
openaire +2 more sources
Abstract data types as a project development organiser [PDF]
Bruria Haberman+2 more
openalex +2 more sources
A recent study found severely inflated type I error rates for DESeq2 and edgeR, two dominant tools used for differential expression analysis of RNA-seq data.
Lu Yang, Xianyang Zhang, Jun Chen
doaj +1 more source
Complexity of algebraic implementations for abstract data types
Hartmut Ehrig, Bernd Mahr
openalex +1 more source
Information Aware Type Systems and Telescopic Constraint Trees [PDF]
Can we use the flow of information to understand type systems? I present two familiar type systems in pursuit of an `Information Aware' style, using information effects to reveal data flow and help in implementing them. I also calculate a general, scoped, constraint-based representation of typechecking problems from the typing rules.
arxiv
Single-cell RNA sequencing (scRNA-seq) is a key technology for investigating cell development and analysing cell diversity across various diseases. However, the high dimensionality and extreme sparsity of scRNA-seq data pose great challenges for accurate
Tianci Kong+9 more
doaj +1 more source
Hybrid concurrency control for abstract data types [PDF]
Maurice Herlihy, William E. Weihl
openalex +1 more source
The VagueGeometry Abstract Data Type
Spatial vagueness has been increasingly required by geoscientists to handle vague spatial objects, that is, spatial objects found in real-world phenomena that do not have exact locations, strict boundaries, or sharp interiors. However, there is a gap in the literature in how to handle spatial vagueness in spatial database management systems and ...
Chaves Carniel, Anderson+2 more
openaire +2 more sources
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang+5 more
wiley +1 more source