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This document is a research paper that presents a clustering approach to analyze the genetic and phenotypic complexity of chronic kidney disease.
Year:
2023
Region / city:
Not specified
Topic:
Chronic kidney disease, Genetic and phenotypic analysis
Document type:
Research paper
Institution / organization:
Not specified
Author:
Not specified
Target audience:
Researchers, healthcare professionals, geneticists
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
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Document Type:
Data Management and Sharing Plan
Policy Framework:
NIH Policy for Data Management and Sharing; Genomic Data Sharing Policy
Funding Agency:
National Institutes of Health (NIH)
Related Repositories:
NIMH Data Archive (NDA); dbGaP
Study Registration:
dbGaP
Subject Population:
500 human research subjects
Data Types:
Whole genome sequencing data; phenotypic data; clinical data
Genomic Data Formats:
FASTQ; SAM/BAM; BED; VCF
Data Standards:
NOT-MH-20-067 common data elements; Genomics Subject (genomics_subject02); Genomics Sample (genomics_sample03); Structured Clinical Interview for DSM-V (scidv_dep01); MATRICS Consensus Cognitive Battery (matrics01)
Assessment Instruments:
DSM Crosscutting; WHODAS 2.0; PHQ-9; GAD-7
Software and Tools:
Illumina sequencing pipelines; Genome Analysis Toolkit (GATK)
Data Submission Timeline:
Initial deposit 12 months after award start; subsequent deposits every six months
Data Access Conditions:
Broad data sharing consent; controlled access via NDA
Data Availability Period:
At end of grant award or upon publication submission; long-term preservation managed by NDA
Document type:
Supplementary material
Subject:
Microbiology and bacterial taxonomy
Focus organism:
Pseudescherichia liriopis sp. nov. L3T
Associated plant host:
Liriope platyphylla
Test plant species:
Daucus carota subsp. sativus
Authors:
Inhyup Kim; Haejin Woo; Geeta Chhetri; Sunho Park; Taegun Seo
Affiliation:
Department of Life Science, Dongguk University-Seoul, Goyang 10326, Republic of Korea
Corresponding author:
Taegun Seo
Contact email:
[email protected]
Methods included:
FastANI analysis; antiSMASH analysis; API 20NE tests; dDDH and ANI genomic comparisons
Data included:
EPS production assay; PEG and NaCl resistance; growth range; hydrolysis tests; genome statistics; phylogenetic comparisons
Genome accession number (L3T):
JANKYC000000000
Genome size (L3T):
4,304,575 bp
DNA G+C content:
56.5 mol%
Number of compared species:
29
Year:
2024-25
Region / City:
Varanasi, Uttar Pradesh, India
Subject:
Genotype × Environment Interactions, Phenotypic Plasticity
Document Type:
Research Article
Organization / Institution:
ICAR-IIVR
Author:
Choudhary et al.
Target Audience:
Researchers, Plant Breeders
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Keywords:
Brinjal, climate-resilient breeding, genotype × environment interaction, hybrids, inbreds, phenotypic plasticity, seasonal stability
Context:
The document is an academic research article examining genotype by environment interactions in brinjal, focusing on the phenotypic stability and plasticity of qualitative traits across two different seasonal environments.
Year:
2019–2021
Region / Location:
United States
Topic:
Psychiatric Genetics, PTSD
Document Type:
Research Summary / Scientific Review
Institution:
Rosalind Franklin University of Medicine and Science
Author:
Monika A. Waszczuk
Target Audience:
Researchers and clinicians in psychiatry and genetics
Study Cohorts:
Psychiatric Genomics Consortium (PGC), Million Veterans Program (MVP)
Methods:
Genome-Wide Association Studies, Dimensional Phenotypic Analysis
Phenotypes Studied:
PTSD symptoms, trauma exposure, related psychiatric conditions
Sample Size:
30,000–250,000 participants across studies
Findings:
Identification of multiple genetic loci associated with PTSD and trauma-related traits
Endophenotypes:
Dimensional measures of symptom severity, lifetime trauma exposure
Relevance:
Genetic architecture of PTSD and transdiagnostic loci in psychiatric disorders
Data Collection Tools:
Clinician-Administered PTSD Scale (CAPS), PTSD Checklist (PCL)
Publication Date:
2021
Description:
Scientific article presenting GWAS findings on PTSD and trauma, emphasizing dimensional phenotypic approaches to reveal genetic loci associated with symptom severity and trauma exposure.
Year:
Not specified
Country:
United States
Field:
Genomics; Biomedical Research; Data Management
Document Type:
Research Data Management and Sharing Plan
Organization:
National Institutes of Health (NIH)
Related Repositories:
NIMH Data Archive (NDA); dbGaP
Research Data Types:
Genomic sequencing data; Phenotypic data; Clinical data
Number of Research Subjects:
500
Data Standards:
DSM Crosscutting; WHODAS 2.0; PHQ-9; GAD-7; MATRICS Consensus Cognitive Battery
File Formats:
FASTQ; SAM/BAM; BED; VCF
Software / Tools:
Illumina pipelines; Genome Analysis Toolkit (GATK)
Data Submission Timeline:
Starting 12 months after award and every six months thereafter
Data Access Conditions:
Broad data sharing with participant consent; controlled access through NDA
Persistent Identifier:
Digital Object Identifier (DOI) assigned to NDA studies
Associated Policies:
NIH Policy for Data Management and Sharing; Genomic Data Sharing Policy
Version:
1.0
Author:
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Author Email:
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Date:
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Features Count:
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Selected Algorithm:
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Training Date:
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Year:
2007
Note:
Region / City
Topic:
Failover Clustering, Server Management
Document Type:
Technical Overview
Organization / Institution:
Microsoft
Target Audience:
IT Professionals, System Administrators
Year:
2009
Region / city:
Worldwide
Topic:
SQL Server 2008 Failover Clustering
Document Type:
Technical Article
Organization / Institution:
Microsoft
Author:
Mike Weiner, Paul Burpo, Max Verun, Joseph Sack, Justin Erickson
Contributors:
Sanjay Mishra, Jason Wu, Uttam Parui
Target Audience:
Technical professionals
Period of validity:
N/A
Approval Date:
June 2009
Revision Date:
May 2013
Year:
2011
Region / City:
Not specified
Topic:
Hierarchical Clustering, PCMH Recognition
Document Type:
Technical Appendix
Organization:
Not specified
Author:
Not specified
Target Audience:
Researchers, policymakers, healthcare professionals
Period of validity:
Not specified
Date of approval:
Not specified
Date of modifications:
Not specified
Year:
2010
Region / city:
Worldwide
Topic:
Failover Clustering, Active Directory Certificate Services
Document Type:
Technical Guide
Organization / Institution:
Microsoft Corporation
Author:
Carsten B. Kinder, Mark B. Cooper
Target Audience:
IT professionals, system administrators
Period of validity:
Ongoing
Approval Date:
January 2010
Date of Changes:
Not specified
Year:
2017
Region / city:
United Kingdom
Topic:
Bitcoin; Price Clustering; Cryptocurrency
Document type:
Research Paper
Institution:
University of Southampton
Author:
Dr Andrew Urquhart
Target audience:
Academics, Investors, Researchers
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Source:
TCGA cancer cohort
Section:
Supplementary Materials
Content:
Supplementary figures and table
Methods:
Consensus clustering, pathway enrichment analysis, LASSO regression analysis
Molecular focus:
m6A-related lncRNAs
Number of interactions identified:
625
Number of m6A-related lncRNAs identified:
491
Data description:
Correlation coefficients, p-values, and regulation direction between m6A regulators and lncRNAs
Statistical parameters:
Correlation (cor), p-value, positive and negative regulation
Research field:
Cancer genomics
Type of material:
Supplementary figures and data table
Year:
2026
Field:
Genomics, Virology, Bioinformatics
Document type:
Supplementary material / research data
Authors:
Rui Dong, Lily He, Rong Lucy He, Stephen S.-T. Yau
Institution:
University of Illinois at Chicago
Target audience:
Researchers in virology and computational biology
Data sources:
GenBank
Organisms:
Coronaviruses, Influenza A viruses, Ebolaviruses
Sequence type:
Complete genomes
Number of sequences:
146
Tables included:
S1, S2, S3
Date published:
2026
Correspondence:
Prof. Stephen S.-T. Yau, [email protected]
Description:
Supplementary dataset presenting GenBank accession numbers, genome lengths, and classifications for 36 coronaviruses, 38 influenza A viruses, and 72 ebolaviruses, supporting a study on nucleotide covariance clustering.
Year:
2026
Region:
Coastal Japan
Topic:
Geophysical fluid dynamics, extreme events
Document type:
Research article
Institution:
Meteorological Research Institute, Japan Meteorological Agency; Graduate School of Science, Kyoto University
Authors:
Kunihiro Aoki, Hideyuki Nakano, Nariaki Hirose, Norihisa Usui, Kei Sakamoto, Takahiro Toyoda, Shogo Urakawa, Yuma Kawakami
Target audience:
Atmospheric and oceanic scientists, data scientists
Methodology:
Variational autoencoder with principal-component-scaled augmentation
Data scope:
Approximately 150 samples of coastal ocean velocity fields during Kyucho events
Results:
Identification of four distinct circulation modes
Application period:
Kyucho event study period
Abstract type:
Clustering and pattern analysis in small-sample geophysical datasets
Journal context:
Geophysical research, extreme event prediction
Course:
COSC 4335
Institution:
University-level computer science course
Instructor:
Dr. Eick
Document Type:
Course assignment
Subject Area:
Data Mining and Clustering Algorithms
Algorithms Covered:
K-means, DBSCAN
Programming Language:
R
Datasets:
Complex8 dataset; HAbalone dataset (modified Abalone dataset)
Original Dataset Source:
UCI Machine Learning Repository Abalone Dataset
Project Type:
Individual project
Learning Objectives:
Clustering analysis, interpretation of clustering results, R function development, unsupervised data mining analysis, use of background knowledge in data mining
Assignment Tasks:
Dataset transformation; implementation of purity evaluation function; clustering analysis with K-means and DBSCAN
Submission Deadline:
March 18, 2015, 11p (early submission bonus)
Final Deadline:
March 24, 2015, 11p
Document Version:
Fourth Draft
Last Updated:
Feb. 16, 2015, 2:30p
Year:
2026
Region / Institution:
Not specified
Topic:
Single-cell clustering methods
Document type:
Supplemental Material / Research Comparison
Author:
Not explicitly stated
Dataset:
Normalized single-cell dataset including CD19+ CD3- B cells
Methods compared:
PICAFlow, FlowSOM, PhenoGraph
Cell populations analyzed:
Lymphocyte-shaped single cells
Metrics evaluated:
Number of clusters, cluster abundance, marker positivity accuracy
Figures included:
S1A, S1B, S1C, S1D, S1E
Statistical analysis:
One-sample signed-rank Wilcoxon tests
Key observations:
PICAFlow identifies major clusters efficiently, merges rare populations, produces higher median abundance clusters, maintains closer accuracy to manual gating for most markers
Year:
FY14
Region / City:
Various
Topic:
Healthcare Facility Complexity Levels
Document Type:
Report
Organization / Institution:
Veterans Health Administration (VHA)
Author:
Not specified
Target Audience:
Healthcare professionals, administrators in the VHA
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2020
Region / City:
Florida
Topic:
Field Testing, Field Sampling, Environmental Monitoring
Document Type:
Standard Operating Procedures (SOP)
Organization / Institution:
Florida Department of Environmental Protection (FDEP)
Author:
Not specified
Target Audience:
Field technicians, environmental scientists, laboratories
Effective Period:
Ongoing
Approval Date:
Not specified
Date of Changes:
2020
Year:
2026
Region / City:
N/A
Topic:
Nationalism, Multiculturalism, Political Theory
Document Type:
Academic Article
Author:
Eric Kaufmann
Target Audience:
Scholars and students in political theory, sociology, and nationalism studies
Period of Action:
N/A
Date of Approval:
N/A
Date of Changes:
N/A
Year:
2025
Region / City:
Online
Topic:
AI Codec Complexity, Mobile Devices
Document Type:
Discussion Paper
Organization / Institution:
3GPP TSG-SA WG4
Author:
vivo
Target Audience:
Industry professionals, engineers, researchers
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A