📑Interpretation of differential gene expression results of RNA-seq data: review and integration
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2019
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📲Channel: @Bioinformatics
#review #gene_expression #rna_seq
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_expression #rna_seq
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📃A comprehensive survey on computational learning methods for analysis of gene expression data
📘Journal: Frontiers in Molecular Biosciences (I.F.=6.113)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #gene_expression #computational
📘Journal: Frontiers in Molecular Biosciences (I.F.=6.113)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_expression #computational
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📄A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction
📘Journal: IEEE Access (I.F.=3.476)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #ml #gene_expression #cancer
📘Journal: IEEE Access (I.F.=3.476)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #ml #gene_expression #cancer
👍6
📄 Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
📘Journal: Bioengineering (I.F.=5.046)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #machine_learning #cancer #gene_expression
📘Journal: Bioengineering (I.F.=5.046)
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #machine_learning #cancer #gene_expression
👍7
📄What can deep learning do for the gene expression field?
📘Journal: Journal of Biological Chemistry (I.F.=7.381)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#gene_expression #deep_learning
📘Journal: Journal of Biological Chemistry (I.F.=7.381)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#gene_expression #deep_learning
Journal of Biological Chemistry
Off the deep end: What can deep learning do for the gene expression field?
After a COVID-related hiatus, the fifth biennial symposium on Evolution and Core Processes
in Gene Regulation met at the Stowers Institute in Kansas City, Missouri July 21 to
24, 2022. This symposium, sponsored by the American Society for Biochemistry and…
in Gene Regulation met at the Stowers Institute in Kansas City, Missouri July 21 to
24, 2022. This symposium, sponsored by the American Society for Biochemistry and…
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📑Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
📗 Journal: Bioengineering (I.F.=4.6)
🗓 Publish year: 2023
🧑💻Authors: Fadi Alharbi, Aleksandar Vakanski
🏢University: Department of Computer Science, University of Idaho, USA
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📲Channel: @Bioinformatics
#review #cancer #gene_expression #feature
📗 Journal: Bioengineering (I.F.=4.6)
🗓 Publish year: 2023
🧑💻Authors: Fadi Alharbi, Aleksandar Vakanski
🏢University: Department of Computer Science, University of Idaho, USA
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📲Channel: @Bioinformatics
#review #cancer #gene_expression #feature
👍4❤3
📃Temporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏢University: Federal University of Paraná, University of São Paulo, Universidade Tecnológica Federal do Paraná – UTFPR, Brzil
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📲Channel: @Bioinformatics
#review #rna_seq #gene_expression
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Juliana Costa-Silva, Douglas S. Domingues, David Menotti, ...
🏢University: Federal University of Paraná, University of São Paulo, Universidade Tecnológica Federal do Paraná – UTFPR, Brzil
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📲Channel: @Bioinformatics
#review #rna_seq #gene_expression
👍7❤1
📃 Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review
📗Journal: Mathematics (I.F.=2.4)
🗓Publish year: 2023
🧑💻Authors: Minhyeok Lee
🏢University: Chung-Ang University, Republic of Korea
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📲Channel: @Bioinformatics
#review #GAN #gene_expression
📗Journal: Mathematics (I.F.=2.4)
🗓Publish year: 2023
🧑💻Authors: Minhyeok Lee
🏢University: Chung-Ang University, Republic of Korea
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📲Channel: @Bioinformatics
#review #GAN #gene_expression
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📃 Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review
📘Journal: Computational and Structural Biotechnology Journal (CSBJ) (I.F.=6)
🗓Publish year: 2024
🧑💻Authors: Diletta Rosati, Maria Palmieri, Giulia Brunelli, ...
🏢University: University of Siena, Italy - Temple University, USA
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📲Channel: @Bioinformatics
#review #gene_expression #differential #biomarker
📘Journal: Computational and Structural Biotechnology Journal (CSBJ) (I.F.=6)
🗓Publish year: 2024
🧑💻Authors: Diletta Rosati, Maria Palmieri, Giulia Brunelli, ...
🏢University: University of Siena, Italy - Temple University, USA
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📲Channel: @Bioinformatics
#review #gene_expression #differential #biomarker
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🎬Recorded webinar:
💥Using NGS for MicroRNA and Gene Expression Analysis with Integrated Bioinformatics for Pathway Discovery and Biomarker Verification
🎞 Watch
📲Channel: @Bioinformatics
#NGS #microRNA #Gene_Expression
💥Using NGS for MicroRNA and Gene Expression Analysis with Integrated Bioinformatics for Pathway Discovery and Biomarker Verification
🎞 Watch
📲Channel: @Bioinformatics
#NGS #microRNA #Gene_Expression
YouTube
Using NGS for MicroRNA and Gene Expression Analysis with Integrated Bioinformatics for Pathway...
Presented By: Samuel Rulli, PhD
Speaker Biography: Samuel Rulli is a Senior Global Product Manager for the QIAseq RNA Profiling Technologies at QIAGEN. Dr. Rulli received his Ph.D. in 2002 from Tulane University studying the gastric proton pump and did post…
Speaker Biography: Samuel Rulli is a Senior Global Product Manager for the QIAseq RNA Profiling Technologies at QIAGEN. Dr. Rulli received his Ph.D. in 2002 from Tulane University studying the gastric proton pump and did post…
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📽 Gene expression – An introduction and hands on experience on data analysis
🎞 Watch
📲Channel: @Bioinformatics
#video #gene_expression
🎞 Watch
📲Channel: @Bioinformatics
#video #gene_expression
YouTube
Gene expression – An introduction and hands on experience on data analysis
by
Prof. Meiyappan / IITM
Prof. Meiyappan / IITM
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📽 Beyond linear-only patterns in gene expression data analysis
💥 Dr. Milton Pividori form the Department of Biomedical Informatics at University of Colorado Anschutz
🎞 Watch
📲Channel: @Bioinformatics
#video #gene #gene_expression
💥 Dr. Milton Pividori form the Department of Biomedical Informatics at University of Colorado Anschutz
🎞 Watch
📲Channel: @Bioinformatics
#video #gene #gene_expression
YouTube
Beyond linear-only patterns in gene expression data analysis - Biomedical Informatics
Milton Pividori, PhD, is an Assistant Professor at the Department of Biomedical Informatics at University of Colorado Anschutz Medical Campus. As a biomedical informatician, his lab aims to advance precision medicine by developing a comprehensive, multi-omics…
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🎥 Processing Gene Expression Data in R
🎞 Watch
🖥 Code
📦Dataset
📲Channel: @Bioinformatics
#video #gene_expression #r
🎞 Watch
🖥 Code
📦Dataset
📲Channel: @Bioinformatics
#video #gene_expression #r
YouTube
Lesson 3: Reading Gene Expression Data into R
Hi everyone! This tutorial series is about how to do a basic transcriptomic analysis in R, using a real data set that compares gene expression in IPF lung tissue to healthy lung tissue.
All the code from my videos is available on my Github:
https://gith…
All the code from my videos is available on my Github:
https://gith…
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📜 Building Machine Learning Clustering Models for Gene Expression RNA-Seq Data
💥Technical paper in python
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📲Channel: @Bioinformatics
#python #clustering #gene_expression #rna_seq
💥Technical paper in python
📎 Study
📲Channel: @Bioinformatics
#python #clustering #gene_expression #rna_seq
Medium
Building Machine Learning Clustering Models for Gene Expression RNA-Seq Data
1. Introduction
2. Using Clustering Algorithms in Bioinformatics
3. Cancer Gene Expression RNA-Seq Dataset
4. K-Means Clustering Evaluation…
2. Using Clustering Algorithms in Bioinformatics
3. Cancer Gene Expression RNA-Seq Dataset
4. K-Means Clustering Evaluation…
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