🎓 Functional characterisation of genetic variants influencing human food preferences using bioinformatics and in vivo models
📘PhD Thesis from The University of Edinburgh, Scotland
🗓Publish year: 2022
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #GWAS #food
📘PhD Thesis from The University of Edinburgh, Scotland
🗓Publish year: 2022
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #GWAS #food
👍8
🎓 Machine learning tools for biomarker discovery
📘PhD Thesis from Sorbonne University, France
🗓Publish year: 2020
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #biomarker #ml
📘PhD Thesis from Sorbonne University, France
🗓Publish year: 2020
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #biomarker #ml
👍5👏2
📃Graph representation learning in bioinformatics: trends, methods and applications
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #graph_representation_learning
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #graph_representation_learning
👍11❤2
Forwarded from Network Analysis Resources & Updates
🎞 Co-expression network analysis using RNA-Seq data
💥Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland – College Park (June 15 2016).
🔹This tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
💥Free recorded tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland – College Park (June 15 2016).
🔹This tutorial provide a simple overview of co-expression network analysis, with an emphasis on the use of RNA-Seq data.A motivation for the use of co-expression network analysis is provided and compared to other common types of RNA-Seq analyses such as differential expression analysis and gene set enrichment analysis. The use of adjacency matrices to represent networks is explored for several different types of networks and a small synthetic dataset is used to demonstrate each of the major steps in co-expression network construction and module detection. The tutorial portion of the presentation then applies some of these principles using a real dataset containing ~3000 genes, after filtering.
📽Watch
📱Channel: @ComplexNetworkAnalysis
#video #Co_expression_network #RNA_Seq
YouTube
DC ISCB Workshop 2016 - Co-expression network analysis using RNA-Seq data (Keith Hughitt)
Overview
---------------
Tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland - College Park (June 15 2016).
Abstract
--------------
In this presentation, I provide…
---------------
Tutorial on Co-expression network analysis using RNA-Seq data presented at the ISCB DC Regional Student Group Workshop at the University of Maryland - College Park (June 15 2016).
Abstract
--------------
In this presentation, I provide…
👍9❤3
📄Mining Proteome Research Reports: A Bird’s Eye View
📘Journal: Proteomes
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #proteome
📘Journal: Proteomes
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #proteome
👍8
📑A review of deep learning applications in human genomics using next-generation sequencing data
📘Journal: Human Genomics (I.F.=6.481)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomics #ngs
📘Journal: Human Genomics (I.F.=6.481)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomics #ngs
👍13
📹 Biomarkers Identification using Machine Learning
💥Recorded workshop
🌐 Watch
📲Channel: @Bioinformatics
#video #biomarker #ml
💥Recorded workshop
🌐 Watch
📲Channel: @Bioinformatics
#video #biomarker #ml
YouTube
TCGA Biomarkers Identification using Machine Learning | Complete Walkthrough
Well, mostly doing this since people have been asking to connect the database with some basic machine learning noscript , so I might as well capitalized on this. Anyhow, I mostly wrote this with the mindset on education and not really on research so the code…
👍12❤7👏3
📃Artificial intelligence in cancer target identification and drug discovery
📘Journal: Signal Transduction and Targeted Therapy (I.F.=38.104)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #ai #cancer #drug
📘Journal: Signal Transduction and Targeted Therapy (I.F.=38.104)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #ai #cancer #drug
👍9❤1
👨🏫 Registration is open to Three week International Bioinformatics Workshop by DE<code>LIFE
💥 Data Science with Python - 3rd Ed, 2023💥
🗓 Duration: 9 January 2023 - 04 February, 2023
✍️ Registration Link:
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️ 18 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.
❗️Note: video recording will be shared with participants immediately after each session along with relevant material.
❓Frequently asked questions: https://decodelife.co.in/faq/
📲Channel: @Bioinformatics
💥 Data Science with Python - 3rd Ed, 2023💥
🗓 Duration: 9 January 2023 - 04 February, 2023
✍️ Registration Link:
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️ 18 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.
❗️Note: video recording will be shared with participants immediately after each session along with relevant material.
❓Frequently asked questions: https://decodelife.co.in/faq/
📲Channel: @Bioinformatics
👍11
🎓Learning Protein Evolution and Structure
📘PhD Thesis from Stockholm University, Sweden
💥Describing several technical concepts in a simple manner
🗓Publish year: 2022
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #protein
📘PhD Thesis from Stockholm University, Sweden
💥Describing several technical concepts in a simple manner
🗓Publish year: 2022
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #protein
👍6👌2
🧑💻Free Bioinformatics seminar talk from Translational Data Analytics Institute (The Ohio State University)
🗓 Date: January 26, 2023
🕖 Time: 1:00PM - 2:00PM Eastern Time (US and Canada)
📍 Location: Hybrid 301 (Pomerene Hall, Zoom)
✍🏻 Details and Registration
📲Channel: @Bioinformatics
#webinar
🗓 Date: January 26, 2023
🕖 Time: 1:00PM - 2:00PM Eastern Time (US and Canada)
📍 Location: Hybrid 301 (Pomerene Hall, Zoom)
✍🏻 Details and Registration
📲Channel: @Bioinformatics
#webinar
tdai.osu.edu
Seminar: Dr. Dongjun Chung (bioinformatics)
TDAI Affiliate Faculty member Dr. Dongjun Chung, Associate Professor of Bioinformatics, will give a seminar talk ennoscriptd "Statistical Approaches for Spatial Trannoscriptomics Data Analysis" on Thursday, January 26, at 1:00 p.m.
👍5❤2🔥2👏1👌1
💥Introduction to EMBL-EBI for teachers and trainers💥
🧑💻Free webinar from EMBL-EBI training
🗓 Date: January 18, 2022
🕖 Time: 15:30 - 16:30 ( GMT )
📍 Location: Online, Zoom
✍🏻 Details and Registration
📲Channel: @Bioinformatics
#webinar
🧑💻Free webinar from EMBL-EBI training
🗓 Date: January 18, 2022
🕖 Time: 15:30 - 16:30 ( GMT )
📍 Location: Online, Zoom
✍🏻 Details and Registration
📲Channel: @Bioinformatics
#webinar
👍8❤1
🎓Identifying disease-associated genes based on artificial intelligence
📘PhD Thesis from University of Saskatchewan, Canada
🗓Publish year: 2019
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #disease #gene
📘PhD Thesis from University of Saskatchewan, Canada
🗓Publish year: 2019
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #disease #gene
👍8❤1
💻One of the easiest molecular docking solutions online:
💥Draw your ligand, select your target and click on Dock!
🎞 Watch the clip
📲Channel: @Bioinformatics
#video #docking
💥Draw your ligand, select your target and click on Dock!
🎞 Watch the clip
📲Channel: @Bioinformatics
#video #docking
YouTube
How to do 1 click docking: mcule
#PymolBiomoleculesTutorials
Mcule.com is the online drug discovery platform. It offers a unique solution for pharma and biotech companies by providing molecular modeling tools, hit identification, hit expansion, lead optimization. and a database of 100+ million…
Mcule.com is the online drug discovery platform. It offers a unique solution for pharma and biotech companies by providing molecular modeling tools, hit identification, hit expansion, lead optimization. and a database of 100+ million…
👍7❤2👎1🔥1
📕Using Machine Learning to Understand Text for Pharmacovigilance: A Systematic Review
💥MSc degree project research, Luleå University of Technology, Sweden
🗓Publish year: 2021
📎 Study
📲Channel: @Bioinformatics
#thesis #pharmacovigilance #ml
💥MSc degree project research, Luleå University of Technology, Sweden
🗓Publish year: 2021
📎 Study
📲Channel: @Bioinformatics
#thesis #pharmacovigilance #ml