Statistical Genetics & Bioinformatics

Works Published in 2016

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Displaying all 9 works

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2016 journal article

Data on biodistribution and radiation absorbed dose profile of a novel 64Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature

Data in Brief, 7, 480–484.

By: J. Merrill*, K. Krajewski*, H. Yuan*, J. Frank*, D. Lalush n, C. Patterson*, A. Veleva n

author keywords: Molecular imaging; Tumor angiogenesis; Radiation absorbed dose; Diagnostic radiopharmaceuticals
TL;DR: Biodistribution measurements in mice are reported and the radiation absorbed doses to normal organs are calculated using a modified Medical Internal Radiation Dosimetry (MIRD) methodology that accounts for physical and geometric factors and cross-organ beta doses. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Crossref
Added: December 28, 2020

2016 journal article

Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation

Physics in Medicine and Biology, 61(2), 791–812.

By: Y. Wang*, P. Zhang*, L. An*, G. Ma*, J. Kang*, F. Shi*, X. Wu*, J. Zhou* ...

author keywords: positron emission tomography (PET); sparse representation; mapping-based sparse representation; incremental refinement; standard-dose PET prediction; multimodal MR images
MeSH headings : Brain / diagnostic imaging; Brain Mapping / methods; Humans; Image Processing, Computer-Assisted / methods; Magnetic Resonance Imaging / methods; Multimodal Imaging / methods; Positron-Emission Tomography / methods; Radiation Dosage
TL;DR: Inspired by the success of patch-based sparse representation (SR) in super-resolution image reconstruction, a mapping-based SR (m-SR) framework is proposed for standard-dose PET image prediction and can outperform benchmark methods in both qualitative and quantitative measures. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: February 24, 2020

2016 journal article

Alternate Metabolic Programs Define Regional Variation of Relevant Biological Features in Renal Cell Carcinoma Progression

CLINICAL CANCER RESEARCH, 22(12), 2950–2959.

By: S. Brooks*, A. Khandani*, J. Fielding*, W. Lin*, T. Sills*, Y. Lee*, A. Arreola*, M. Milowsky* ...

MeSH headings : Biomarkers, Tumor / genetics; Biomarkers, Tumor / metabolism; Carcinoma, Renal Cell / diagnostic imaging; Carcinoma, Renal Cell / genetics; Carcinoma, Renal Cell / pathology; Disease Progression; Gene Expression Regulation, Neoplastic; Humans; Kidney Neoplasms / diagnostic imaging; Kidney Neoplasms / genetics; Kidney Neoplasms / pathology; Magnetic Resonance Imaging / methods; Microarray Analysis; Positron Emission Tomography Computed Tomography / methods
TL;DR: Higher tumor dependency on exogenous glucose accompanies the development of features associated with the poor risk ccB subgroup, and linking these panels of features may provide the opportunity to create functional maps to enable enhanced visualization of the heterogeneous biologic processes of an individual's disease. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Grouping substitution types into different relaxed molecular clocks

By: H. Lee, H. Kishino, N. Rodrigue & J. Thorne

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation

IEEE TRANSACTIONS ON IMAGE PROCESSING, 25(7), 3303–3315.

author keywords: PET estimation; multi-level CCA; sparse representation; locality-constrained linear coding; multi-modal MRI
TL;DR: Validations on phantom and real human brain data sets show that the proposed data-driven multi-level canonical correlation analysis scheme effectively estimates S-PET images and well preserves critical clinical quantification measures, such as standard uptake value. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2016 journal article

A Phylogenetic Approach Finds Abundant Interlocus Gene Conversion in Yeast

MOLECULAR BIOLOGY AND EVOLUTION, 33(9), 2469–2476.

By: X. Ji n, A. Griffing n & J. Thorne n

author keywords: interlocus gene conversion; multigene family evolution
MeSH headings : Base Sequence / genetics; Biological Evolution; Evolution, Molecular; Gene Conversion; Models, Genetic; Multigene Family; Nucleotides / genetics; Phylogeny; Point Mutation; Saccharomyces cerevisiae; Sequence Analysis, DNA / methods; Yeasts / genetics
TL;DR: This work estimated the percentage of nucleotide substitutions that originate with an IGC event rather than a point mutation in 14 groups of yeast ribosomal protein-coding genes, and found values ranging from 20% to 38%. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Synthesis and comparative evaluation of novel Cu-64-labeled high affinity cell-specific peptides for positron emission tomography imaging of tumor vasculature

BIOMATERIALS, 84, 241–249.

By: J. Merrill*, K. Krajewski*, H. Yuan*, J. Frank*, D. Lalush n, C. Patterson*, A. Veleva n

author keywords: Molecular imaging; Tumor angiogenesis; Cu-64-labeled cell-specific peptides; Diagnostic PET radiopharmaceuticals; Radiation absorbed dose
MeSH headings : Animals; Cell Line, Tumor; Copper Radioisotopes / chemistry; Dose-Response Relationship, Radiation; Female; Humans; Isotope Labeling; Mice, Inbred C57BL; Neoplasms / blood supply; Neoplasms / diagnostic imaging; Peptides / chemical synthesis; Peptides / chemistry; Positron-Emission Tomography / methods; Radiation Dosage; Tissue Distribution; Tomography, X-Ray Computed
TL;DR: The findings from this investigation warrant further development of (64)Cu-NOTA-FHT as a potential targeted diagnostic radiopharmaceutical for PET imaging of aggressive tumor vasculature. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Sporadic, Global Linkage Disequilibrium Between Unlinked Segregating Sites

GENETICS, 202(2), 427-+.

author keywords: linkage disequilibrium; genome-wide association study; genetically indistinguishable
MeSH headings : Algorithms; Alleles; Animals; Arabidopsis / genetics; Computer Simulation; Drosophila / genetics; Genetic Linkage; Genetic Loci; Genetic Variation; Genetics, Population; Genome-Wide Association Study; Linkage Disequilibrium; Models, Genetic; Models, Statistical; Polymorphism, Single Nucleotide
TL;DR: It is shown that sample size and minor allele frequency are the major determinants of the prevalence of perfect LD between unlinked loci but that demographic factors, such as deviations from random mating, can produce significant effects as well. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 personal communication

Bias-Variance Tradeoffs in Recombination Rate Estimation

Stone, E. A., & Singh, N. D. (2016, February).

By: E. Stone n & N. Singh n

MeSH headings : Alleles; Animals; Bias; Drosophila melanogaster / genetics; Gene Frequency; Genetic Variation; Models, Genetic; Models, Statistical; Recombination, Genetic
TL;DR: To extract the signal of recombination in high-throughput sequence data, a nonparametric smoothing procedure was adopted, reducing variance at the cost of biasing individual recombination rates. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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