🌐 The ASCA has the website (ascanet.org) and two telegram channels:
🔸News (https://news.1rj.ru/str/ascanews), where you can get information about new methods in single-cell analysis, different meetings, bright single-cell researches and outstanding results, etc.
🔸Chat (https://news.1rj.ru/str/ascatalk), where you can get technical support in single-cell analysis (just ask your question here) and communicate with other ASCA members.
💥If you have an interest in single-cell analysis, please join the ASCA and Telegram channels.
📲Channel: @Bioinformatics
🔸News (https://news.1rj.ru/str/ascanews), where you can get information about new methods in single-cell analysis, different meetings, bright single-cell researches and outstanding results, etc.
🔸Chat (https://news.1rj.ru/str/ascatalk), where you can get technical support in single-cell analysis (just ask your question here) and communicate with other ASCA members.
💥If you have an interest in single-cell analysis, please join the ASCA and Telegram channels.
📲Channel: @Bioinformatics
👍13
📑2021 Bioinformatics and Translational Informatics Best Papers
📘Source: Yearbook of Medical Informatics
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
📘Source: Yearbook of Medical Informatics
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
👍2
📃A bibliometric analysis of natural language processing in medical research
📘Journal: BMC Medical Informatics and Decision Making (I.F.=3.298)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#review #nlp #medical
📘Journal: BMC Medical Informatics and Decision Making (I.F.=3.298)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#review #nlp #medical
👍5
📄Computational Methods for Prediction of Human Protein-Phenotype Associations: A Review
📘Journal: Phenomics
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #protein #phenotype
📘Journal: Phenomics
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #protein #phenotype
👍5
📑 A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases
📘Journal: Journal of Integrative Bioinformatics
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_prioritization
📘Journal: Journal of Integrative Bioinformatics
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_prioritization
👍8
📖Proceeding of The 11th International Conference on Health Information Science (HIS 2022)
🗓 Date: October 28-30, 2022
📍 Location: Biarritz, France
📎 Study
📲Channel: @Bioinformatics
#conference #health
🗓 Date: October 28-30, 2022
📍 Location: Biarritz, France
📎 Study
📲Channel: @Bioinformatics
#conference #health
👍3❤1
🎓 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