📑Using machine learning approaches for multi-omics data analysis: A review
📕 Journal: Biotechnology Advances (I.F=17.681)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #multi_omics
📕 Journal: Biotechnology Advances (I.F=17.681)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #multi_omics
👍6
📣 Exciting Opportunity: Join our Single Cell Analysis Boot Camp and Unlock the Power of Cellular Insights! 🧪🔬
🌐 This course will empower you to:
✅ Understand the principles and importance of single cell analysis.
✅ Master various techniques for isolating and manipulating individual cells.
✅ Explore state-of-the-art platforms for single cell transcriptomics.
💼 Who Should Attend?
This course caters to professionals and students from diverse backgrounds, including but not limited to:
🔹 Biologists and life science researchers
🔹 Bioinformaticians and computational biologists
🔹 Biotechnologists and laboratory technicians
🔹 Pharmaceutical and biotech industry professionals
🔹 Graduate and postgraduate students in related fields
📅 Course Details:
📍 Location: Via Festa del Perdono
🗓 Duration: 33 hours
⌚️ Time: 11-15 September
ℹ️ More information
✍️ Registration
📲Channel: @Bioinformatics
🌐 This course will empower you to:
✅ Understand the principles and importance of single cell analysis.
✅ Master various techniques for isolating and manipulating individual cells.
✅ Explore state-of-the-art platforms for single cell transcriptomics.
💼 Who Should Attend?
This course caters to professionals and students from diverse backgrounds, including but not limited to:
🔹 Biologists and life science researchers
🔹 Bioinformaticians and computational biologists
🔹 Biotechnologists and laboratory technicians
🔹 Pharmaceutical and biotech industry professionals
🔹 Graduate and postgraduate students in related fields
📅 Course Details:
📍 Location: Via Festa del Perdono
🗓 Duration: 33 hours
⌚️ Time: 11-15 September
ℹ️ More information
✍️ Registration
📲Channel: @Bioinformatics
❤10👍3
📄In silico Methods for Identification of Potential Therapeutic Targets
📔 Journal: Interdisciplinary Sciences: Computational Life Sciences (I.F=3.492)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #therapeutic
📔 Journal: Interdisciplinary Sciences: Computational Life Sciences (I.F=3.492)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #therapeutic
👍4
📃Review on Databases and Bioinformatic Approaches on Pharmacogenomics of Adverse Drug Reactions
📘 Journal: Pharmacogenomics and Personalized Medicine (I.F=2.606)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #Pharmacogenomics #adr
📘 Journal: Pharmacogenomics and Personalized Medicine (I.F=2.606)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #Pharmacogenomics #adr
👍6
📄Machine learning in the prediction of cancer therapy
📘 Journal: Computational and Structural Biotechnology Journal (I.F=6.155)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #machine_learning #cancer
📘 Journal: Computational and Structural Biotechnology Journal (I.F=6.155)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #machine_learning #cancer
👍7👏1
📃 Applying multi‐omics toward tumor microbiome research
📕 Journal: iMeta
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #multi_omics #tumor
📕 Journal: iMeta
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #multi_omics #tumor
👍5
📑Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
🗓Publish year: 2023
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📲Channel: @Bioinformatics
#review #drug_drug #deep_learning
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug_drug #deep_learning
👍5❤1
👨🏫 Last day to Registration to Joint One month International Bioinformatics Workshop by Ensemble - European Molecular Biology Laboratory - EBI and Decode Life.
💥 Genome Informatics - 5th Ed, 2023💥
🗓 Duration: 17 June - 15 July, 2023
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features :
▫️ 25 sessions with approximately 35 hrs of learning.
▫️E- Certificate of Participation.
ℹ️ video recording will be shared with participants immediately after each session along with relevant material.
❔Frequently asked questions
https://decodelife.co.in/faq/
👉🏻 Connect with us :
Facebook – https://www.facebook.com/decodelifebio/
Twitter- https://twitter.com/LifeDecode
Instagram- https://www.instagram.com/decode_life_bioinfo/
Linked in- https://www.linkedin.com/company/decode-life/
📲Channel: @Bioinformatics
💥 Genome Informatics - 5th Ed, 2023💥
🗓 Duration: 17 June - 15 July, 2023
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features :
▫️ 25 sessions with approximately 35 hrs of learning.
▫️E- Certificate of Participation.
ℹ️ video recording will be shared with participants immediately after each session along with relevant material.
❔Frequently asked questions
https://decodelife.co.in/faq/
👉🏻 Connect with us :
Facebook – https://www.facebook.com/decodelifebio/
Twitter- https://twitter.com/LifeDecode
Instagram- https://www.instagram.com/decode_life_bioinfo/
Linked in- https://www.linkedin.com/company/decode-life/
📲Channel: @Bioinformatics
👍6👌1
📃Multi-omic and multi-view clustering algorithms: review and cancer benchmark
📘 Journal: Nucleic Acids Research (I.F=19.160)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#review #multi_omic #clustering #cancer
📘 Journal: Nucleic Acids Research (I.F=19.160)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#review #multi_omic #clustering #cancer
❤5👍2👏1
📑Deep Learning Based Methods for Molecular Similarity Searching: A Systematic Review
📘 Journal: Processes (I.F=3.352)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #molecular_similarity
📘 Journal: Processes (I.F=3.352)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #deep_learning #molecular_similarity
👍5👌1