[PDF] Top 20 Sparse Simultaneous Signal Detection With Applications in Genomics

... the detection of pleiotropic effects while, when restricting analyses to clinically-identical diseases, the opportunity to discover how variants associate with complex diseases through pleiotropic effects is lost ... See full document

... of sparse signal identification in genome-wide association studies and present two analytical frame- works for detailed analysis of the statistical power for detecting and identifying the disease-associated ... See full document

... In this review, we examine recent genomic and proteomic studies of clinical relevance, and provide examples of the following: (a) identification of new pathways and nove[r] ... See full document

... from genomics to other fields were initially developed to address specific biological ...compare genomics with other topics such as text mining we observe that genomics currently accounts for a very ... See full document

... FOCUSING AND INTEGRATING COMMUNITY RESEARCH Priority thematic themes of research'3' » GENOMICS AND BIOTECHNOLOGY FOR HEALTH - Advanced genomics and applications for health - Combating ma[r] ... See full document

... Spike detection as a sparse deconvolution ...a sparse binary matrix x , where x[i, j] represents the presence of a spike from source i at time j ...spike detection and ... See full document

... In this paper, we attempt to address the sequence design problem in Zak space. This choice requires an elucidation. One of the key properties of a PPS is that its discrete Fourier transform (DFT) is also polyphase [2, ... See full document

... distributed signal processing, communica- tions, and information theory in large-scale networked systems are still under ...or detection indicate that joint optimization through some form of source- channel ... See full document

... As mentioned in the previous section, the main concept of the proposed method is detecting only one nonzero element at each iteration and simultaneously, trying to modify the detection problem formulation for the ... See full document

... (non- sparse) ISI channels. In high-speed wireless applications such as underwater acoustic (UWA) communications, ultrawide band (UWB) communications, and high- definition television (HDTV) systems, the ... See full document

... In this paper noise jamming source is considered as a random noise. Random noise is a type of noise comprised of transient disturbances which occur at random times; its instantaneous magnitudes are specified only by ... See full document

... were applications in mathematical physics ( [ 70, 71 ] ); psychometrics ( [ 24, 25, 67, 145, 146 ] ); algebraic complexity theory ( [ 72, 81, 83, 85, 86, 138 ] ); and in chemometrics ( [ 6, 61, 135 ] ...numerous ... See full document

... Using individual genotype RNAs and co-infected RNAs with three genotypes, the more clear and specific PCR products were detected in samples, respectively. Plas- mids pMD19-TuYV-P0 and pMD19-56#-1 containing partial ... See full document

... using the existing AIS as a backup positioning system will save a lot of cost as it has a feasible market appli- cation value. Some countries are interested in using the existing AIS shore stations for positioning, with ... See full document

... anomaly detection on trading networks can reveal the entities involved in the fraud activity; while features of entities are the description of entities, and anomaly detection on features can reflect ... See full document

... The CDnet [38] datasets are much larger and more abundant that any of the other datasets and include suffi- cient ground truth data for quantitative evaluation. There- fore, as listed in Table 1, we selected eighteen ... See full document

... throughput detection platform that integrates RT-PCR or PCR with a labelled, amplified product in a multiplex RT- PCR/PCR assay followed by fluorescence capillary electro- phoresis separation based on the sizes of ... See full document

... based signal analysis techniques have been developed by researchers like Nikias, Mendal, Raghuveer, and Petropulu for deterministic and non- deterministic phase signals, testing of Gaussianity and linearity, ... See full document

... of signal in certain dictionary is useful while its ...a signal. The details about the same will be discussed later. This sparse signal, in general, implements compressive sensing, by using ... See full document

... for sparse signal reconstruction. When the interested signal is block sparse, ...block sparse recovery algorithms are ...block- sparse signals, provided that the sampling matrix ... See full document