Results 21 to 30 of about 3,190,493 (303)
Recognizing Sequences of Sequences
The brain's decoding of fast sensory streams is currently impossible to emulate, even approximately, with artificial agents. For example, robust speech recognition is relatively easy for humans but exceptionally difficult for artificial speech recognition systems.
Kiebel, S J +3 more
openaire +7 more sources
Tournament Sequences and Meeussen Sequences [PDF]
A tournament sequence is an increasing sequence of positive integers $(t_1,t_2,\ldots)$ such that $t_1=1$ and $t_{i+1} \leq 2t_i$. A Meeussen sequence is an increasing sequence of positive integers $(m_1,m_2,\ldots)$ such that $m_1=1$, every nonnegative integer is the sum of a subset of the $\{m_i\}$, and each integer $m_i-1$ is the sum of a unique ...
Cook, Matthew, Kleber, Michael
openaire +4 more sources
Background Systematic characterization of how genetic variation modulates gene regulation in a cell type-specific context is essential for understanding complex traits.
Jun Wang +10 more
doaj +1 more source
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. [PDF]
Next-generation sequencing technology (NGS) enables the discovery of nearly all genetic variants present in a genome. A subset of these variants, however, may have poor sequencing quality due to limitations in NGS or variant callers.
Coppola, Giovanni +6 more
core +1 more source
Genomic variant benchmark: if you cannot measure it, you cannot improve it
Genomic benchmark datasets are essential to driving the field of genomics and bioinformatics. They provide a snapshot of the performances of sequencing technologies and analytical methods and highlight future challenges.
Sina Majidian +4 more
doaj +1 more source
Taxonomy of anaerobic digestion microbiome reveals biases associated with the applied high throughput sequencing strategies [PDF]
In the past few years, many studies investigated the anaerobic digestion microbiome by means of 16S rRNA amplicon sequencing. Results obtained from these studies were compared to each other without taking into consideration the followed procedure for ...
Angelidaki, Irini +4 more
core +3 more sources
Discovery of large genomic inversions using long range information. [PDF]
BackgroundAlthough many algorithms are now available that aim to characterize different classes of structural variation, discovery of balanced rearrangements such as inversions remains an open problem.
Alkan, Can +8 more
core +3 more sources
Deep convolutional neural networks for accurate somatic mutation detection
Somatic mutations are crucial to the understanding of cancer genesis, progression, and treatment, but are still challenging to detect. Here the authors present NeuSomatic, a convolutional neural network approach for accurate somatic mutation detection ...
Sayed Mohammad Ebrahim Sahraeian +5 more
doaj +1 more source
Background Characterization of genomic structural variation (SV) is essential to expanding the research and clinical applications of genome sequencing.
Oliver A. Hampton +10 more
doaj +1 more source
Background Establishing a genetic diagnosis for individuals with intellectual disability (ID) benefits patients and their families as it may inform the prognosis, lead to appropriate therapy, and facilitate access to medical and supportive services ...
Aniko Sabo +7 more
doaj +1 more source

