πBioData manipulation with Python
π₯Free recorded lecture
π½ Watch
π²Channel: @Bioinformatics
#video #python
π₯Free recorded lecture
π½ Watch
π²Channel: @Bioinformatics
#video #python
YouTube
Bioinformatics Lecture 2: Using Python to store and manipulate biomedical data
Learn about Python's data structures & functions and how they can be used in conjunction with the Pandas library to perform numerous operations on tabular biomedical datasets.
π3
πIntroduction to differential gene expression analysis using RNA-seq
π₯Workshop document from Weill Cornell Medical College
π Study
π²Channel: @Bioinformatics
#rna-seq
π₯Workshop document from Weill Cornell Medical College
π Study
π²Channel: @Bioinformatics
#rna-seq
π8β€4π2π₯1
πDeep Learning in the Biomedical Sciences
π₯Recorded Seminar
π½ Watch
π²Channel: @Bioinformatics
#video #deep_learning #biomdical
π₯Recorded Seminar
π½ Watch
π²Channel: @Bioinformatics
#video #deep_learning #biomdical
YouTube
Pierre Baldi - Deep Learning in the Biomedical Sciences
Talk given on 11-18-21
Abstract:
We will provide a brief historical overview of deep learning and its two-way interactions with biology. In one direction, progress in deep learning has been driven by progress in neuroscience, from the early beginnings ofβ¦
Abstract:
We will provide a brief historical overview of deep learning and its two-way interactions with biology. In one direction, progress in deep learning has been driven by progress in neuroscience, from the early beginnings ofβ¦
π7
πA quick overview of the application of machine learning techniques on biomedical graphs
π₯ Technical Paper
πPublish year: May 10, 2022
π Study the paper
π²Channel: @Bioinformatics
#tachnical #graph #biomedical
π₯ Technical Paper
πPublish year: May 10, 2022
π Study the paper
π²Channel: @Bioinformatics
#tachnical #graph #biomedical
π2π1
π§βπ»Machine Learning in Genomics:
Data and resource needs for machine learning in genomics
π Watch
π²Channel: @Bioinformatics
#video #genomics
Data and resource needs for machine learning in genomics
π Watch
π²Channel: @Bioinformatics
#video #genomics
YouTube
Session 3: Data and resource needs for machine learning in genomics
April 13-14, 2021 - The NHGRI Genomic Data Science Working Group hosts Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics. This virtual workshop highlights the opportunities and obstacles that occur when applying machine learningβ¦
π3
π§ A review of the application of deep learning in the detection of Alzheimer's disease
π Study the paper
πJournal: International Journal of Cognitive Computing in Engineering
πPublish year: 2021
π²Channel: @Bioinformatics
#review #Alzheimer #deep_learning
π Study the paper
πJournal: International Journal of Cognitive Computing in Engineering
πPublish year: 2021
π²Channel: @Bioinformatics
#review #Alzheimer #deep_learning
π The role of High Performance Computing in Bioinformatics
π₯Some Titles:
β«οΈHPC Architecture
β«οΈGPU Computing
β«οΈSupercomputers
β«οΈGrid & Cloud Computing
β«οΈVirtual Screening
β«οΈAutodock
β«οΈGenetic algorithms based docking
β«οΈ Next Generation Sequencing
β«οΈMolecular Dynamics
π Study the paper
π²Channel: @Bioinformatics
#HPC #paper
π₯Some Titles:
β«οΈHPC Architecture
β«οΈGPU Computing
β«οΈSupercomputers
β«οΈGrid & Cloud Computing
β«οΈVirtual Screening
β«οΈAutodock
β«οΈGenetic algorithms based docking
β«οΈ Next Generation Sequencing
β«οΈMolecular Dynamics
π Study the paper
π²Channel: @Bioinformatics
#HPC #paper
π9
πBefore starting the Bioinformatics
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
Medium
The first step to learning bioinformatics is to not jump to bioinformatics
Mastering the fundamentals of coding patterns and computing systems is key to success in bioinformatics.
π10π₯9β€3
π©βπ«A hands-on introduction to the computer-based analysis of genomic and biomolecular data from the Division of Biological Sciences, UCSD
π₯Free online course
πCourse Syllabus
πͺ Enter the course
π²Channel: @Bioinformatics
π₯Free online course
πCourse Syllabus
πͺ Enter the course
π²Channel: @Bioinformatics
π11
π¨βπ« A Bioinformatics Crash Course for Interpreting Genomics Data
π Study
πJournal: Chest Journal (I.F.=9.41)
πPublish year: 2020
π²Channel: @Bioinformatics
#course #genomics
π Study
πJournal: Chest Journal (I.F.=9.41)
πPublish year: 2020
π²Channel: @Bioinformatics
#course #genomics
π3
πE-learning strategies from a bioinformatics postgraduate programme to improve student engagement and completion rate
π Study
πJournal: Bioinformatics Advances
πPublish year: 2022
π²Channel: @Bioinformatics
#elearning
π Study
πJournal: Bioinformatics Advances
πPublish year: 2022
π²Channel: @Bioinformatics
#elearning
π5
πApplication of Machine Learning for DrugβTarget Interaction Prediction
πJournal: Frontiers in Genetics (I.F.=4.599)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#drug_target #review
πJournal: Frontiers in Genetics (I.F.=4.599)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#drug_target #review
π6β€1
πA step-by-step guide to DNA sequencing data analysis
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
#dna
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
#dna
π16
π¨π»βπ»Bioinformatics Notebook on GitHub
π₯This project provides introductions to various bioinformatics tools with short guides, video demonstrations, and scripts that tie these tools together.
π Notebook link
π²Channel: @Bioinformatics
#github #linux
π₯This project provides introductions to various bioinformatics tools with short guides, video demonstrations, and scripts that tie these tools together.
π Notebook link
π²Channel: @Bioinformatics
#github #linux
π13π₯4
πNext-Generation Sequencing Bioinformatics Pipelines
A guide to practical implementation for clinical laboratories
π Study the article
π²Channel: @Bioinformatics
#ngs
A guide to practical implementation for clinical laboratories
π Study the article
π²Channel: @Bioinformatics
#ngs
π4
π Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
πJournal: Computational and Mathematical Methods in Medicine (I.F.=2.238)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #deep_learning
πJournal: Computational and Mathematical Methods in Medicine (I.F.=2.238)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #deep_learning
π9
πCOVID-19: A systematic review and update on prevention, diagnosis, and treatment
πJournal: MedComm
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #covid_19
πJournal: MedComm
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #covid_19
π4
πUsing Machine Learning for Pharmacovigilance: A Systematic Review
π Study
πJournal: Pharmaceutics (I.F.=6.321)
πPublish year: 2022
π²Channel: @Bioinformatics
#review #Pharmaceutics
π Study
πJournal: Pharmaceutics (I.F.=6.321)
πPublish year: 2022
π²Channel: @Bioinformatics
#review #Pharmaceutics
MDPI
Using Machine Learning for Pharmacovigilance: A Systematic Review
Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions to existing medicines. Traditional approaches in this field can be expensive and time-consuming. The application of natural language processing (NLP) to analyzeβ¦
π₯7π3π1