Results 61 to 70 of about 1,275,858 (359)

Data structures and compression algorithms for high-throughput sequencing technologies

open access: yesBMC Bioinformatics, 2010
Background High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively short nucleotide sequences, in applications ranging from genome sequencing ...
Christley Scott   +4 more
doaj   +1 more source

Lightweight Reconstruction of Urban Buildings: Data Structures, Algorithms, and Future Directions

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Commercial buildings as well as residential houses represent core structures of any modern day urban or semiurban areas. Consequently, 3-D models of urban buildings are of paramount importance to a majority of digital urban applications, such as city ...
Vivek Kamra   +5 more
doaj   +1 more source

Evolving structure-function mappings in cognitive neuroscience using genetic programming [PDF]

open access: yes, 2005
A challenging goal of psychology and neuroscience is to map cognitive functions onto neuroanatomical structures. This paper shows how computational methods based upon evolutionary algorithms can facilitate the search for satisfactory mappings by ...
Gobet, F, Parker, A
core   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Superselectors: Efficient Constructions and Applications

open access: yes, 2010
We introduce a new combinatorial structure: the superselector. We show that superselectors subsume several important combinatorial structures used in the past few years to solve problems in group testing, compressed sensing, multi-channel conflict ...
A. Bonis De   +25 more
core   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira   +14 more
wiley   +1 more source

The Complexity of Pattern Matching for $321$-Avoiding and Skew-Merged Permutations [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2016
The Permutation Pattern Matching problem, asking whether a pattern permutation $\pi$ is contained in a permutation $\tau$, is known to be NP-complete. In this paper we present two polynomial time algorithms for special cases.
Michael H. Albert   +3 more
doaj   +1 more source

Data Mining Using Relational Database Management Systems [PDF]

open access: yes, 2006
Software packages providing a whole set of data mining and machine learning algorithms are attractive because they allow experimentation with many kinds of algorithms in an easy setup.
Beibei, Zou   +4 more
core   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

open access: yesMolecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian   +10 more
wiley   +1 more source

Low-Rank Matrices on Graphs: Generalized Recovery & Applications [PDF]

open access: yes, 2016
Many real world datasets subsume a linear or non-linear low-rank structure in a very low-dimensional space. Unfortunately, one often has very little or no information about the geometry of the space, resulting in a highly under-determined recovery ...
Perraudin, Nathanael   +2 more
core   +1 more source

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