CBIIT
CBIIT
Daoud Meerzaman, meerzamd@mail.nih.gov
Events by this organizer
Topic
All
Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
Cloud
Data Management
Data Resources
Data Science
Flow Cytometry
Genomics
Geospatial Analysis
Image Analysis
Microbiome
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Pharmacogenomics
Programming
Proteomics
R programming
Sequencing Technologies
Single Cell RNA SEQ
Single Cell Technologies
Spatial Transcriptomics
Statistics
Transcriptomics
Variant Analysis
Format
All
Class
Distinguished Speaker
Lecture
Seminar
Webinar
Workshop
Event Organizer
All
BTEP
BYOB
Cancer Genomics Cloud / 7 Bridges
Cancer Imaging Program (CIP)
Cancer Moonshot
CBIIT
CCR
CCR Genomics Core
CCR Single Cell Analysis and Sequencing Facilities
CDSL
Containers and Workflow Interest Group (CWIG)
Data Science
Data Science Seminar Series
Data Sharing and Reuse Seminar Series
Division of Cancer Prevention
Earl Stadtman Investigator Program
FNL Science and Technology Group
Frederick Faculty Seminar Series
Geospatial Analysis
HPC Biowulf
Laboratory of Cell Biology (LCB)
Long-read and Long-range Sequencing Scientific Interest Group
Molecular Discovery Seminar Series
Nanostring Technology
NCI
NCI and the Society for Immunotherapy of Cancer (SITC)
NCI CCR Liver Cancer Program (LCP)
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI Genomic Data Commons
NCI Rising Scholars: Cancer Research Seminar Series
NCI SS/SC
NCI’s Single Cell Analysis Facility
NHGRI
NHLBI
NHLBI Proteomics Core
NIA
NIA Artificial Intelligence Lecture Series
NIAID
NIAID Bioinformatics and Computational Biosciences Branch
NICHD
NIDA
NIDCR
NIH
NIH HPC
NIH Library
NIH Metabolomics Scientific Interest Group
NIH Office of Data Science Strategy (ODSS)
NIH STRIDES
NIH Training Library
NIH.AI
OD/Office of Intramural Research (OIR)
Office of Cancer Clinical Proteomics Research
Office of Extramural Research (OER)
Office of Science Policy (OSP)
Qlucore
Scientific Library at Frederick
SeqSPACE Webinar Series
SIG
Single Cell Users Group
SITC-NCI Computational IO Series
Systems Biology Interest Group
The NIH Generalist Repository Ecosystem Initiative (GREI)
The NIH Metabolomics Interest Group
William E. Paul Lecture
Past & Future Events
All
Only Past Events
Only Future Events
february
08feb11:00 am12:00 pmPoisson Hurdle Model-based Clustering for Microbiome Data
Event Details
Join Dr. Peng Liu of Iowa State University as she proposes a model-based algorithm based on Poisson
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Event Details
Join Dr. Peng Liu of Iowa State University as she proposes a model-based algorithm based on Poisson hurdle models for sparse microbiome count data. Simulation results demonstrate that the proposed methods provide better clustering results than alternative methods under various settings.
In this seminar, Dr. Liu will:
- describe an expectation-maximization algorithm and a modified version using simulated annealing to conduct cluster analysis.
- provide methods for initialization and choosing the number of clusters.
- illustrate how to apply this method using her team’s developed R package, PHclust, and apply the proposed method to a microbiome data set that results in interesting biological findings.
This method can also be applied to single-cell RNA-sequencing data.
Register Here
RegisterTime
(Wednesday) 11:00 am - 12:00 pm
Location
Online
Organizer
CBIITCBIITDaoud Meerzaman, meerzamd@mail.nih.gov
09feb1:00 pm2:00 pmNCI-wide MATLAB License Launch Event
Event Details
NCI announces availability of the institute-wide site license for MATLAB that provides access to MATLAB,
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Event Details
NCI announces availability of the institute-wide site license for MATLAB that provides access to MATLAB, Simulink, and additional products on government-furnished equipment to all NCI staff, including fellows, contractors, and trainees. These powerful tools and accompanying training courses will soon be made available to advance scientific research.
The 1-hour virtual session will cover:
- NCI’s MATLAB Institute-Wide License’s features and capabilities
- Accessing the software and self-paced training classes
- A live demonstration of what you can do with MATLAB
- Learn how MATLAB can be used to visualize and analyze data, perform numerical computations, and develop algorithms.
- See how MATLAB can help you become more effective in your work.
- Review new tools, AI capabilities, online resources and more.
Who Should Attend
NCI investigators and staff seeking more information about the MATLAB site license; new and experienced users.
Contact the NCI MATLAB Team at NCIMatLabTeam@mail.nih.gov for more information.
Register Here
RegisterTime
(Thursday) 1:00 pm - 2:00 pm
Location
Online
Organizer
CBIITCBIITDaoud Meerzaman, meerzamd@mail.nih.gov
