๐A Review of Random Walk-Based Methods for the Identification of Disease Genes and Disease Modules
๐Journal: IEEE Access (I.F.=3.9)
๐Publish year: 2023
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #random_walk #disease #gene
๐Journal: IEEE Access (I.F.=3.9)
๐Publish year: 2023
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #random_walk #disease #gene
โค2
๐Graph Neural Network approaches for single-cell data: A recent overview
๐Publish year: 2023
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #graph_neural_network #single_cell
๐Publish year: 2023
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #graph_neural_network #single_cell
๐6โค1
๐Modern Clinical Text Mining: A Guide and Review
๐Journal: Annual Review of Biomedical Data Science (I.F.=6)
๐Publish year: 2021
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #nlp #text #cilnical
๐Journal: Annual Review of Biomedical Data Science (I.F.=6)
๐Publish year: 2021
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #nlp #text #cilnical
๐2โค1๐1
Forwarded from Network Analysis Resources & Updates
๐Current and future directions in network biology
๐Publish year: 2023
๐Study paper
๐ฒChannel: @ComplexNetworkAnalysis
#paper #graph #biology
๐Publish year: 2023
๐Study paper
๐ฒChannel: @ComplexNetworkAnalysis
#paper #graph #biology
๐5โค3๐1
๐ A beginnerโs guide to interpreting results from biostatistics
๐ฝ Watch
๐ฒChannel: @Bioinformatics
#video #biostatistics
๐ฝ Watch
๐ฒChannel: @Bioinformatics
#video #biostatistics
YouTube
A beginnerโs guide to interpreting results from biostatistics
This webinar will cover the general concepts behind hypothesis testing workflow, including summary statistics, null and alternative hypotheses, and p-values. We will focus specifically on what you should pay attention to when you interpret results from aโฆ
๐9๐4๐3
๐ Artificial intelligence in healthcare: a mastery
๐Journal: Biotechnology and Genetic Engineering Reviews (I.F.=3.2)
๐Publish year: 2023
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #ai #healthcare
๐Journal: Biotechnology and Genetic Engineering Reviews (I.F.=3.2)
๐Publish year: 2023
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #ai #healthcare
๐6
๐ฌ Computational Biology with Python - Recorded videos
๐ฅModeling Gene Networks
๐ Enter Course
๐ฒChannel: @Bioinformatics
#video #course #gene
๐ฅModeling Gene Networks
๐ Enter Course
๐ฒChannel: @Bioinformatics
#video #course #gene
๐16โค5๐ฅ3๐2๐ฏ1
๐ Network analysis of genome-wide association studies for drug target prioritisation
๐Journal: Current Opinion in Chemical Biology (I.F.=7.8)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gwas #drug_target
๐Journal: Current Opinion in Chemical Biology (I.F.=7.8)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gwas #drug_target
๐10โค3๐2๐ฏ1
๐Advancements in Oncology with Artificial IntelligenceโA Review Article
๐Journal: Cancers (I.F.=5.2)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #cencer #ai
๐Journal: Cancers (I.F.=5.2)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #cencer #ai
๐3โค2
๐จโ๐ซ Analysis of single cell RNA-seq data
๐ฅFree online course from Sanger Institute
๐ Start reading
๐ฒChannel: @Bioinformatics
#course #rna_seq
๐ฅFree online course from Sanger Institute
๐ Start reading
๐ฒChannel: @Bioinformatics
#course #rna_seq
www.singlecellcourse.org
Analysis of single-cell RNA-seq data
In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq. The course is taught through the University of Cambridge Bioinformatics training unit, butโฆ
๐15โค3๐1
๐ In silico Methods for Identification of Potential Therapeutic Targets
๐ Journal: Cancers (I.F.=4.8)
๐ Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #therapeutic
๐ Journal: Cancers (I.F.=4.8)
๐ Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #therapeutic
๐5โค2๐1
๐ Single-cell RNA sequencing data analysis
๐ฅDr. Mary Yang from University of Arkansas
๐ฅ Watch
๐ฒChannel: @Bioinformatics
#video #rna_sequencing
๐ฅDr. Mary Yang from University of Arkansas
๐ฅ Watch
๐ฒChannel: @Bioinformatics
#video #rna_sequencing
YouTube
Single-cell RNA sequencing data analysis - April 9, 2021
Dr. Mary Yang is Professor of Information Science and Director of the Bioinformatics Program at the University of Arkansas Little Rock. Dr. Yang received the MS, MSECE and Ph.D. degrees from Purdue University. She joined the National Human Genome Researchโฆ
๐7โค5๐1
๐ Research on the Computational Prediction of Essential Genes
๐Journal: Frontiers in Cell and Developmental Biology (I.F.=5.5)
๐Publish year: 2021
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #essential_genes
๐Journal: Frontiers in Cell and Developmental Biology (I.F.=5.5)
๐Publish year: 2021
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #essential_genes
๐4โค1๐ฅ1๐1
๐What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics
๐ Journal: Human Genetics (I.F.=5.3)
๐ Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #machine_learning #genetics
๐ Journal: Human Genetics (I.F.=5.3)
๐ Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #machine_learning #genetics
๐7โค1๐1
๐จโ๐ซ Registration is open to One month International Bioinformatics Workshop by Decode Life.
๐ฅ Drug Discovery and Development , 6th Edition 2023 ๐ฅ
๐ Duration: 25 November - 20 December, 2023
โ๏ธ Registration Link
https://decodelife.co.in
๐ฒ Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
๐ฅKey Features :
โซ๏ธ 22 sessions with approximately 35 hrs of learning.
โซ๏ธE- Certificate of Participation.
โน๏ธ video recording will be shared with participants immediately after each session along with relevant material.
โFrequently asked questions
https://decodelife.co.in/faq/
๐ฒChannel: @Bioinformatics
๐ฅ Drug Discovery and Development , 6th Edition 2023 ๐ฅ
๐ Duration: 25 November - 20 December, 2023
โ๏ธ Registration Link
https://decodelife.co.in
๐ฒ Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
๐ฅKey Features :
โซ๏ธ 22 sessions with approximately 35 hrs of learning.
โซ๏ธE- Certificate of Participation.
โน๏ธ video recording will be shared with participants immediately after each session along with relevant material.
โFrequently asked questions
https://decodelife.co.in/faq/
๐ฒChannel: @Bioinformatics
โค4๐4๐ฅ1
๐Machine learning approaches to genome-wide association studies
๐ Journal: Journal of King Saud University - Science (I.F.=3.8)
๐ Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gwas #machine_learning
๐ Journal: Journal of King Saud University - Science (I.F.=3.8)
๐ Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gwas #machine_learning
๐5โค2๐ค2