📃The next frontier in machine learning for plant systems biology
📕Journal: The Plant Journal (I.F.=7.2)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #plant #machine_learning
📕Journal: The Plant Journal (I.F.=7.2)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #plant #machine_learning
👍4❤2
📑An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects
📘Journal: Artificial Intelligence Review (I.F.=12)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #side_effect #machine_learning
📘Journal: Artificial Intelligence Review (I.F.=12)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #side_effect #machine_learning
👌4👏2👍1
📄A Review of Random Walk-Based Methods for the Identification of Disease Genes and Disease Modules
📕Journal: IEEE Access (I.F.=3.9)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #random_walk #disease #gene
📕Journal: IEEE Access (I.F.=3.9)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #random_walk #disease #gene
❤2
📃Graph Neural Network approaches for single-cell data: A recent overview
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #graph_neural_network #single_cell
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #graph_neural_network #single_cell
👍6❤1
📑Modern Clinical Text Mining: A Guide and Review
📘Journal: Annual Review of Biomedical Data Science (I.F.=6)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
#review #nlp #text #cilnical
📘Journal: Annual Review of Biomedical Data Science (I.F.=6)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
#review #nlp #text #cilnical
👍2❤1👌1
Forwarded from Network Analysis Resources & Updates
📄Current and future directions in network biology
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #biology
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #biology
👍5❤3👏1
🎞 A beginner’s guide to interpreting results from biostatistics
📽 Watch
📲Channel: @Bioinformatics
#video #biostatistics
📽 Watch
📲Channel: @Bioinformatics
#video #biostatistics
YouTube
A beginner’s 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 a…
👏9👍4👌3
📃 Artificial intelligence in healthcare: a mastery
📕Journal: Biotechnology and Genetic Engineering Reviews (I.F.=3.2)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #ai #healthcare
📕Journal: Biotechnology and Genetic Engineering Reviews (I.F.=3.2)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #ai #healthcare
👍6
🎬 Computational Biology with Python - Recorded videos
💥Modeling Gene Networks
🌐 Enter Course
📲Channel: @Bioinformatics
#video #course #gene
💥Modeling Gene Networks
🌐 Enter Course
📲Channel: @Bioinformatics
#video #course #gene
👍16❤5🔥3👏2💯1
📑 Network analysis of genome-wide association studies for drug target prioritisation
📘Journal: Current Opinion in Chemical Biology (I.F.=7.8)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #gwas #drug_target
📘Journal: Current Opinion in Chemical Biology (I.F.=7.8)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #gwas #drug_target
👍10❤3👌2💯1
📃Advancements in Oncology with Artificial Intelligence—A Review Article
📔Journal: Cancers (I.F.=5.2)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #cencer #ai
📔Journal: Cancers (I.F.=5.2)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #cencer #ai
👍3❤2
👨🏫 Analysis of single cell RNA-seq data
💥Free online course from Sanger Institute
🌐 Start reading
📲Channel: @Bioinformatics
#course #rna_seq
💥Free online course from Sanger Institute
🌐 Start reading
📲Channel: @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, but…
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📑 In silico Methods for Identification of Potential Therapeutic Targets
📘 Journal: Cancers (I.F.=4.8)
🗓 Publish year: 2022
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📲Channel: @Bioinformatics
#review #therapeutic
📘 Journal: Cancers (I.F.=4.8)
🗓 Publish year: 2022
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📲Channel: @Bioinformatics
#review #therapeutic
👍5❤2👏1
🎞 Single-cell RNA sequencing data analysis
💥Dr. Mary Yang from University of Arkansas
🎥 Watch
📲Channel: @Bioinformatics
#video #rna_sequencing
💥Dr. Mary Yang from University of Arkansas
🎥 Watch
📲Channel: @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 Research…
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