Science Research Weekly

Science Research Weekly

By Mark R WilliamsonScience
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Science Research Weekly episodes

  • Episode 4: To Err in R is Human

    Get ready for the top 10 errors in R, self-assembling peptides, microbiome mishaps, a theory-defying dwarf planet ring system, and a chance to save tiny hearts.  Science On.

    References

    • The virtual microbiome: A computational framework to evaluate microbiome analyses
    • A dense ring of the trans-Neptunian object Quaoar outside its Roche limit
    • 3D Printing of Self-Assembling Nanofibrous Multidomain Peptide Hydrogels
    • This one-atom chemical reaction could transform drug discovery
    • logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations
    • Python 3.11.2, Python 3.10.10 and 3.12.0 alpha 5 are available
    • How to use Git to share SAS programs
    • Top 10 errors in R and how to fix them
    • NIH: Using Multimodal Biomarkers to Differentially Diagnose ADRDs for Clinical Trials
    • NSF: Accelerating Research Translation
    • Saving Tiny Hearts Society: Research Grants
    • R packages

      • deFit: Fitting Differential Equations to Time Series Data
      • synMicrodata: Synthetic Microdata Generator
      • animate: A Web-Based Graphics Device for Animated Visualisations
      • formatBibtex: Format BibTeX Entries and Files
      • 6 min
      • Episode 3: The Ocean that Snuck up on Me

        Get ready for heart-attack healing hydrogels, super rare supernovas, volumes of viroid sequences, stealth oceans, finding hex logos and packages by topic in CRAN, and NASA funding for exobiology.  Science On.

        References

        • This groundbreaking biomaterial heals tissues from the inside out
        • A high-mass X-ray binary descended from an ultra-stripped supernova
        • Mining metatranscriptomes reveals a vast world of viroid-like circular RNAs
        • Tracking the Evolution of an Ocean Within Mimas Using the Herschel Impact Basin
        • Journal of Statistical Software Volume 105
        • Annual Julia Growth Statistics - January 2023
        • Tips for organizing your R code
        • December 2022: “Top 40” New CRAN Packages
        • NASA: Exobiology- Living Systems Science
        • NIH: Data Harmonization, Curation and Secondary Analysis of Existing Clinical Datasets
        • DOD: Peer Reviewed Medical, Discovery Award
        • DE-FOA: 2023 Exploratory Research for Extreme Scale Science
        • NIH NOSI: Development of Functional Assay Sites to Evaluate Candidate -Omics Variants Associated with Heart, Lung, Blood, or Sleep Disease
        • NIH NOSI: Revision Applications to add a Curation and Informatics Component to existing Animal and Biological Material Resource Centers
        • R-packages

          • hexFinder: Find Hex Logos for CRAN Packages
          • vvsculptor: Apply Manipulations to Data Frames
          • findPackage: Find 'CRAN' Package by Topic
          • 6 min
          • Episode 2: What Double Teeth You Have

            Get ready for new deep sea bacterial phyla, extra ancient caecilian fossils, R Journal Volume 14/3 JuliaHub 6.0, visualizing star maps in R, and an IceCube neutrino competition!  Science Research Weekly covers 3 topic areas: Research Articles, Research Tools, and Research Funding.  Science On.

            References

            • Global patterns of diversity and metabolism of microbial communities in deep-sea hydrothermal vent deposits
            • Chem-map profiles drug binding to chromatin in cells
            • Study offers first glimpse of how many suffer from previously unknown illness
            • Molecular mechanism of topoisomerase poisoning by the peptide antibiotic albicidin
            • Triassic stem caecilian supports dissorophoid origin of living amphibians
            • The R Journal Volume 14/3
            • Star Map with R
            • Show all data in the background of your faceted ggplot
            • Fitting robust non-Gaussian models in Stan and R-INLA
            • JuliaHub 6.0 Features Released
            • Kaggle Competition: IceCube - Neutrinos in Deep Ice
            • NSF: Molecular Foundations for Biotechnology
            • NSF: Expanding Capacity in Quantum Information Science and Engineering
            • DE: Scientific Machine Learning for Complex Systems
            • AFOSR: Fiscal Year 2023 Science, Technology, Engineering and Mathematics (STEM) Program
            • R-packages

              • neatR: Neat Data for Presentation
              • polyglotr: Translate Text
              • clarify: Simulation-Based Inference for Regression Models
              • poolHelper: Simulates Pooled Sequencing Genetic Data
              • vDiveR: Visualization of Viral Protein Sequence Diversity Dynamics
              • 8 min
              • Episode 1: An Explosive Beginning

                Welcome to Science Research Weekly, the successor to my first podcast, Statistics Weekly.  This abbreviated trial run of an episode includes: a research article on microbes from a volcanic island, the largest stellar catalogue to date, Arduino project ideas for 2023, and NSF Research and Development grants.

                References:

                • The Early Microbial Colonizers of a Short-Lived Volcanic Island in the Kingdom of Tonga
                • A high-quality Ixodes scapularis genome advances tick science
                • Haplotype-aware pantranscriptome analyses using spliced pangenome graphs
                • The molecular evolution of genes previously associated with large sizes reveals possible pathways to cetacean gigantism
                • The Dark Energy Camera Plane Survey 2 (DECaPS2): More Sky, Less Bias, and Better Uncertainties
                • Volume 105 of the Journal of Statistical Software
                • 12 blog posts from 2022 that deserve a second look
                • Top 15 Stunning Arduino Project Ideas For 2023
                • Some R Conferences for 2023
                • Web scraping in R
                • Imputation in R: Top 3 Ways for Imputing Missing Data
                • FDA: Fellowship in Understanding Pathogenesis and Improving Detection of Flaviviruses
                • NSF: Future Manufacturing
                • NSF: Division of Environmental Biology
                • NSF: Division of Molecular and Cellular Biosciences Core Programs
                • NSF: Division of Integrative Organismal Systems Core Programs
                • NIH NOSI: Research on the Etiology, Early Detection, Screening and Prevention of Early-Onset Colorectal Cancer
                • NIH NOSI: Computational and Statistical Methods to Enhance Discovery from Health Data
                • R packages:

                  • ggplate: Create Layout Plots of Biological Culture Plates and Microplates
                  • glmmrOptim: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
                  • shiny.benchmark: Benchmark the Performance of 'shiny' Applications
                  • blindreview: Blind Review Using Forward Search Procedures
                  • metabias: Meta-Analysis for Within-Study and/or Across-Study Biases
                  • evoTS: Analyses of Evolutionary Time-Series
                  • OssaNMA: Optimal Sample Size and Allocation with a Network Meta-Analysis
                  • 8 min
                  • Science Research Weekly Trailer

                    Welcome to Science Research Weekly.  This is the successor to my first podcast, Statistics Weekly.  Every week, I will cover 3 topic areas: Research Articles, Research Tools, and Research Funding.  Check out the accompanying blog at: https://scienceresearchweekly.wordpress.com/

                    1 min
                  • Episode 39: Last Stat Before Christmas

                    In this episode, I pondered the problem of false positives in publications, rotated around the JuliaHub, machinated over machine learning projects, and put R package ‘drawCell’ to the test.

                    References:

                    • Are most published research findings false in a continuous universe?
                    • Principal component analysis
                    • A no-free-lunch theorem for multitask learning
                    • JuliaHub
                    • Signal-to-noise ratio and statistical tests
                    • Large Enough Sample Condition
                    • Top 11 Interesting Machine Learning Project Ideas For 2023
                    • Code longevity of the R programming language
                    • {drawCell} – R package and Shiny app for drawing cell structures
                    • R-packages:

                      • colorRamp2: Generate Color Mapping Functions
                      • rworkflows: Test, Document, Containerise, and Deploy R Packages
                      • MetChem: Chemical Structural Similarity Analysis
                      • panelsummary: Create Publication-Ready Regression Tables with Panels
                      • arf: Adversarial Random Forests
                      • 5 min
                      • Episode 38: Ho, Ho, Holiday Statistics Projects

                        In this episode, I marched through machine learning abstractions, brought home the BQN, discovered statistics projects to work on over Christmas, and found the Gosling that lays the golden egg,

                        References:

                        • Quantifying uncertainty of machine learning methods for loss given default
                        • Evaluating the performance of memory type logarithmic estimators using simple random sampling
                        • A fast kernel independence test for cluster-correlated data
                        • Autoencoders for sample size estimation for fully connected neural network classifiers
                        • [R-pkgs] onetime 0.1.0: Run Code Only Once
                        • 🚧 WIP 🚧 From Julia to BQN
                        • Using SAS to score a test
                        • Using the cspade action to find frequent gene sequences
                        • The easygoing relationship between computer scientists and null hypothesis significance testing
                        • Top 11+ Coding Projects for Beginners (2023 Edition)
                        • Gosling: Interactive Genomics Charts in R Shiny
                        • Gosling Main Page
                        • R-packages:

                          • POMS:  Phylogenetic Organization of Metagenomic Signals
                          • macroBiome: A Tool for Mapping the Distribution of the Biomes and Bioclimate
                          • reservr: Fit Distributions and Neural Networks to Censored and Truncated Data
                          • NPCox: Nonparametric and Semiparametric Proportional Hazards Model
                          • 7 min
                          • Episode 37: Hexadecimal Codes of Christmas

                            In this episode, I got into the spirit of Sinterklaas with Python, jumpstarted Julia learning, cleared up confusion between ANOVA and regression results, and color paletted the night away.

                            References:

                            • Estimation of population variance under ranked set sampling method by using the ratio of supplementary information with study variable
                            • 10 Simple Reasons to Learn the Julia Programming Language (in 2023)
                            • Python 3.11.1, 3.10.9, 3.9.16, 3.8.16, 3.7.16, and 3.12.0 alpha 3 are now available
                            • Art in SAS: Christmas wrapping paper
                            • when the results of your anova table and regression coefficients disagree
                            • Select colours from an image in R with {eyedroppeR}
                            • How to make your own #RStats Wrapped!
                            • R-packages:

                              • HodgesTools: Common Use Tools for Genomic Analysis
                              • DependencyReviewer: Tool Suite to Investigate Other Packages
                              • gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data
                              • r2social: App Inclusion of Social Sharing and Connect Buttons
                              • lterpalettefinder: Extract Color Palettes from Photos and Pick Official LTER Palettes
                              • jackknifeR: Jackknife Linear Regression and Correlation
                              • POMADE: Power for Meta-Analysis of Dependent Effects
                              • HTT: Hypothesis Testing Tree
                              • 6 min
                              • Episode 36: Curb your Stats-thusiasm

                                In this episode, I picked the choicest R journal articles, served up a digital poker hand in SAS, and tried not to let a defective R-package get me down.

                                References:

                                • brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R
                                • shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms
                                • R-miss-tastic: a unified platform for missing values methods and workflows
                                • Bias reduction in the logistic model parameters with the LogF(1,1) penalty under MAR assumption
                                • A simulation study: Using dual ancillary variable to estimate population mean under stratified random sampling
                                • Multi-omics peripheral and core regions of cancer
                                • Efficient and automated bandwidth selection in SAS PROC KPCA
                                • Simulate poker hands in SAS
                                • Covariates: Definition & Uses
                                • Our First Peer-Reviewed Statistical R Packages!
                                • Navigating folders in RStudio: a beginner’s guide
                                • October 2022: “Top 40” New CRAN Packages
                                • R-packages:

                                  • HTT: Hypothesis Testing Tree
                                  • boxfilter: Filter Noisy Data
                                  • ggpcp: Parallel Coordinate Plots in the 'ggplot2' Framework
                                  • StatTeacherAssistant: An App that Assists Intro Statistics Instructors with Data Sets
                                  • tidyclust: A Common API to Clustering
                                  • 6 min

                                  About Science Research Weekly

                                  From the publisher's feed

                                  A weekly overview of helpful scientific research topics and the successor of the podcast Statistics Weekly. Every week, I will cover 3 topic areas: Research Articles, Research Tools, and Research…