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Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
2007
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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First, wavelet footprints are used to obtain a basis for representing the DNA copy number that is maximally sparse in the number of copy number change points. ...
Second, Sparse Bayesian Learning is applied to infer the copy number changes from noisy array probe intensities. ...
sparse Bayesian learning (SBL) [10] . ...
doi:10.1109/icassp.2007.366689
dblp:conf/icassp/Pique-RegiTOSA07
fatcat:ll3uwr4ufbcjldiwtm3w6fefoe
Comprehensive Study Of Dna Copy Number Analysis Using Sigma Filter
2007
Zenodo
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More recent study [14] used wavelet footprints to obtain a basis for representing the DCN data that is maximally sparse then Sparse Bayesian Learning is applied to infer the copy number changes from ...
It provides a high-resolution method to map and measure relative changes in DNA copy number simultaneously at thousands of genomic loci. ...
doi:10.5281/zenodo.40523
fatcat:e3xnumtphvfr7nx5hatwvlumyi
Maximum likelihood principle for DNA copy number analysis
2009
2009 IEEE International Conference on Acoustics, Speech and Signal Processing
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In this paper, we present a robust procedure for the analysis of DNA copy number data based on maximum likelihood principle using global information of the entire data record. ...
Microarray technologies had been used to measure DNA copy number data. The copy number represents the relative fluorescent intensity level between control and test DNA samples. ...
It is used to obtain a basis for representing the DCN data that is maximally sparse and then sparse Bayesian learning is applied to infer the copy number changes from the noisy data. ...
doi:10.1109/icassp.2009.4959630
dblp:conf/icassp/AlqallafT09
fatcat:pgalnq4snnbq7ac527fgsij3wq
Joint Alignment of Multiple Protein–Protein Interaction Networks via Convex Optimization
2016
Journal of Computational Biology
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HSA models chromatin as a Markov chain under a generalized linear model framework, and uses simulated annealing to globally search for the latent structure underlying the cleavage footprints of different ...
HSA is robust, accurate, and outperforms or rivals existing computational tools when evaluated on simulated and real datasets in diverse cell types. ...
Fast Bayesian Inference of Copy Number Variants Using Hidden Markov Models with Wavelet Compression This makes routine diagnostic use and re-analysis of legacy data collections feasible; to this end, we ...
doi:10.1089/cmb.2016.0025
pmid:27428933
fatcat:tr4e3u3hqjaoziavhhsklxkkmi
AI in Health: State of the Art, Challenges, and Future Directions
2019
IMIA Yearbook of Medical Informatics
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This review highlights recent developments over the past five years and directions for the future. ...
This progress provides new opportunities and challenges, as well as directions for the future of AI in health. ...
[8] proposed the iCluster framework for subtyping glioblastoma with three omics data types: copy number, mRNA expression, and DNA methylation data. ...
doi:10.1055/s-0039-1677908
pmid:31419814
pmcid:PMC6697503
fatcat:mhxvvtvvbzdffmha73cfxy3nua
A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data
2019
Machine Learning
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Acknowledgment We have been fortunate to have our colleagues and collaborators give us their impressions and contributions toward the contents of this book. We would like to ...
for genotyping, quantitative DNA analysis, gene expression analysis, analysis of indels and DNA methylation, and DNA/RNA sequencing. ...
Learning Bayesian Networks With the modeling of data using Bayesian networks, the next challenge is learning from the modeled data. ...
doi:10.1007/s10994-019-05810-5
fatcat:nulmjvxvwjgojfoe2ywv3pjrpu
Learning Neural Textual Representations for Citation Recommendation
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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Bayesian Learning
DAY 3 -Jan 14, 2021
Chang, Xinyuan; Tao, Xiaoyu;
Hong, Xiaopeng; WEI, Xing; Ke,
Wei; Gong, Yihong
2681
Class-Incremental Learning with Topological Schemas of Memory
Spaces ...
Semi-Parametric Bayesian Survival Rule Lists
from Heterogeneous Patient Data
DAY 2 -Jan 13, 2021
Track 1: AI, Learning for Classification,
and Clustering
PS T1.8
Poster
Gather Town 4:00 PM
5: ...
doi:10.1109/icpr48806.2021.9412725
fatcat:3vge2tpd2zf7jcv5btcixnaikm
Cost-Efficient Global Robot Navigation in Rugged Off-Road Terrain
2011
Künstliche Intelligenz
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Thanks to Norbert Schmitz for maintaining and fixing many things in our software framework, Daniel Schmidt for putting up with the chores of teaching and undergraduate education, Jochen Hirth for his work ...
And finally, I am very thankful for the unwavering support received from my girlfriend Christiane, who tolerated the many late nights at the lab and constantly provided comfort during difficult times when ...
Similarity of different fingerprints is estimated by applying string matching algorithms originally developed for DNA sequence analysis to the place fingerprints. ...
doi:10.1007/s13218-011-0088-9
fatcat:u4ssainmcvc3jmqdon6gpjg674
Knowledge Extracted from Copernicus Satellite Data
2019
Zenodo
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By applying an already established active learning approach based on a Support Vector Machine with relevance feedback [2], we can limit ourselves to a limited number of typical satellite images to extract ...
The proposed methodology uses new paradigms from Recurrent Neural Networks and Generative Adversarial Networks, supported by Bayesian and Information Bottleneck concepts. References 1. ...
new solutions for a better and safer world [2]. ...
doi:10.5281/zenodo.3941573
fatcat:zzifwgljifck5bpjnboetsftfu
Speaker comfort and increase of voice level in lecture rooms
2008
Journal of the Acoustical Society of America
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The current work identifies acoustic characteristics of reduced 'flaps' and presents phonetic identification data for continua that manipulate these characteristics. ...
indicate that all three of these characteristics do affect listeners' percept of a consonant, but not sufficiently to completely account for the percept. ...
Inference and learning in gamma chains for Bayesian audio processing. ...
doi:10.1121/1.2934367
fatcat:xr6gp4ldo5bylnxytx2iumrdmi
Fine‐structure processing, frequency selectivity and speech perception in hearing‐impaired listeners
2008
Journal of the Acoustical Society of America
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The current work identifies acoustic characteristics of reduced 'flaps' and presents phonetic identification data for continua that manipulate these characteristics. ...
indicate that all three of these characteristics do affect listeners' percept of a consonant, but not sufficiently to completely account for the percept. ...
Inference and learning in gamma chains for Bayesian audio processing. ...
doi:10.1121/1.2935148
fatcat:nqyyia5pubamnhqgonegghrudm
The neural bases of normalising for accented speech: A repetition suppression functional magnetic resonance imaging study
2008
Journal of the Acoustical Society of America
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The current work identifies acoustic characteristics of reduced 'flaps' and presents phonetic identification data for continua that manipulate these characteristics. ...
indicate that all three of these characteristics do affect listeners' percept of a consonant, but not sufficiently to completely account for the percept. ...
Inference and learning in gamma chains for Bayesian audio processing. ...
doi:10.1121/1.2934685
fatcat:qqmjcl5gjzcj7kssv2pi6efwti
Patterns and algorithms in high-throughput sequencing count data
[article]
2016
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This method can integrate measurements for different histone marks and uses a wavelet to detect the count pattern corresponding to positioned nucleosomes. ...
Our algorithm learns the genomic sequences that attract the transcription factor (the motif) and the count pattern observable at binding sites (the footprint) at once. ...
I am grateful to Mike Love for his invaluable help with statistics and data analysis, for the many stimulating discussions about bioinformatics, and for convincing me to use the R programming ...
doi:10.17169/refubium-16832
fatcat:s4pmzpsofrhslgyj5gqshw2o6q
Chasing the AIDS virus
2010
Communications of the ACM
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I thank the reviewers for very detailed and helpful feedback. ...
All errors and omissions are my own (though of course I faced constraints on length and number of citations). ...
But the virus changes its genome with practically every copy. The reason for such flexibility is that RT lacks a proofreading mechanism and does not repair copy errors. ...
doi:10.1145/1666420.1666440
fatcat:o2qllqh4tzhh5dzgvnjewl52vq
ACNP 58th Annual Meeting: Poster Session III
2019
Neuropsychopharmacology
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excluded and genotype was adjusted for in statistical analysis. ...
Methods: To assess the effectiveness and safety of MDMAassisted psychotherapy for reducing symptoms of PTSD, a systematic review and meta-analysis was undertaken. ...
In addition, lithium sarcosine group exhibited delayed neurological deficit and the first changes in stride length occurred at 18 weeks of age, instead of 15 weeks in controls, in the footprint analysis ...
doi:10.1038/s41386-019-0547-9
pmid:31801974
pmcid:PMC6957926
fatcat:dd7d43ysfvc5bbbstfl73szya4
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