📃 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
📎 Study the paper
📲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
📎 Study the paper
📲Channel: @Bioinformatics
#review #GAN #gene_expression
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Forwarded from Network Analysis Resources & Updates
🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biology
💥Free recorded course by Prof. Marinka Zitnik
💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #computational_biology
💥Free recorded course by Prof. Marinka Zitnik
💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #GNN #Machine_Learning #computational_biology
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XVImFC
Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD
We are glad to invite Prof.…
Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD
We are glad to invite Prof.…
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📹 The intersection of Bioinformatics, Machine learning, and scientific experimentation
🎞 Watch
📲Channel: @Bioinformatics
#video #pharmacology
🎞 Watch
📲Channel: @Bioinformatics
#video #pharmacology
YouTube
The intersection of Bioinformatics, Machine learning, and scientific experimentation with Rahul Jose
In the 23rd episode of The AI Digest Podcast, we delve into the evolving field of pharmacology and gain valuable perspectives on pursuing impactful work in drug discovery and patient care through diverse pathways in the innovative biopharmaceutical domain.…
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📃 In silico protein function prediction: the rise of machine learning-based approaches
📙Journal: Medical Review (De Gruyter)
🗓Publish year: 2023
🧑💻Authors: Jiaxiao Chen , Zhonghui Gu , Luhua Lai, Jianfeng Pei
🏢University: Peking University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #protein_function #ml
📙Journal: Medical Review (De Gruyter)
🗓Publish year: 2023
🧑💻Authors: Jiaxiao Chen , Zhonghui Gu , Luhua Lai, Jianfeng Pei
🏢University: Peking University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #protein_function #ml
👍6❤1
📃 From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies
📘Journal: Molecular Biotechnology (I.F.=2.6)
🗓Publish year: 2024
🧑💻Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏢University: Manipal Institute of Technology, India
📎 Study the paper
📲Channel: @Bioinformatics
#review #omics #machine_learning
📘Journal: Molecular Biotechnology (I.F.=2.6)
🗓Publish year: 2024
🧑💻Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏢University: Manipal Institute of Technology, India
📎 Study the paper
📲Channel: @Bioinformatics
#review #omics #machine_learning
👍8
📃 Applications of deep learning in understanding gene regulation
📘Journal: Cell Reports Methods
🗓Publish year: 2023
🧑💻Authors: Zhongxiao Li, Elva Gao, Juexiao Zhou, ...
🏢University: King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_regulation #deep_learning
📘Journal: Cell Reports Methods
🗓Publish year: 2023
🧑💻Authors: Zhongxiao Li, Elva Gao, Juexiao Zhou, ...
🏢University: King Abdullah University of Science and Technology (KAUST), Kingdom of Saudi Arabia
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene_regulation #deep_learning
👍2
👨🏫 Registration is open for One month International Bioinformatics Workshop by Decode Life.
💥 Bioinformatics Data Science with R, 9th Edition 2024 💥
🔻 Including 5 day Project on Building *_Machine Learning_* model
🗓 Duration: 20 April - 12 May, 2024
✍️ Registration Link
https://decodelife.co.in
💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗Our network
https://www.linkedin.com/company/decode-life
🔻Please subscribe-
🔹Facebook – www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo
Decodelife discord server -https://discord.com/invite/T7dGkCTQ
📲Channel: @Bioinformatics
💥 Bioinformatics Data Science with R, 9th Edition 2024 💥
🔻 Including 5 day Project on Building *_Machine Learning_* model
🗓 Duration: 20 April - 12 May, 2024
✍️ Registration Link
https://decodelife.co.in
💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗Our network
https://www.linkedin.com/company/decode-life
🔻Please subscribe-
🔹Facebook – www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo
Decodelife discord server -https://discord.com/invite/T7dGkCTQ
📲Channel: @Bioinformatics
👍3❤1
📄Application of Genomic Data in Translational Medicine During the Big Data Era
📕 Journal: Frontiers in Bioscience-Landmark (I.F.=3.1)
🗓Publish year: 2024
🧑💻Authors: Yun Zhang, Jian Yu, Xiaoyan Xie, ...
🏢University: The First Affiliated Hospital of Nanjing Medical University - Obstetrics and Gynecology Hospital of Fudan University,China
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomic #medicine
📕 Journal: Frontiers in Bioscience-Landmark (I.F.=3.1)
🗓Publish year: 2024
🧑💻Authors: Yun Zhang, Jian Yu, Xiaoyan Xie, ...
🏢University: The First Affiliated Hospital of Nanjing Medical University - Obstetrics and Gynecology Hospital of Fudan University,China
📎 Study the paper
📲Channel: @Bioinformatics
#review #genomic #medicine
❤3👍1
📑 To metabolomics and beyond: a technological portfolio to investigate cancer metabolism
📓Journal: Signal Transduction and Targeted Therapy (I.F.=39.3🔥)
🗓Publish year: 2023
🧑💻Authors: Federica Danzi, Raffaella Pacchiana, Andrea Mafficini, ...
🏢University: University of Verona, Italy
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #metabolism #metabolomics
📓Journal: Signal Transduction and Targeted Therapy (I.F.=39.3🔥)
🗓Publish year: 2023
🧑💻Authors: Federica Danzi, Raffaella Pacchiana, Andrea Mafficini, ...
🏢University: University of Verona, Italy
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #metabolism #metabolomics
👍3
📘 Systems Biology
- Functional Strategies of Living Organisms
💥 Free online book, 2023
🌐 Study
📲Channel: @Bioinformatics
#book #systems_biology
- Functional Strategies of Living Organisms
💥 Free online book, 2023
🌐 Study
📲Channel: @Bioinformatics
#book #systems_biology
👍10❤3👏1
📃Machine learning for metabolic pathway optimization: A review
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Yang Cheng, Xinyu Bi, Yameng Xu, ...
🏢University: Jiangnan University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #ml #pathway
📔Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2023
🧑💻Authors: Yang Cheng, Xinyu Bi, Yameng Xu, ...
🏢University: Jiangnan University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #ml #pathway
👍6❤1🤔1
📗 Introduction to Command-Line & Scripting For Bioinformatics
💥 Workshop Booklet form University of Adelaide
🌐 Study
📲Channel: @Bioinformatics
#book #command_line #linux
💥 Workshop Booklet form University of Adelaide
🌐 Study
📲Channel: @Bioinformatics
#book #command_line #linux
👍4🤔2
📹 AI in Biomedicine: Illustrative Examples
🗓Publish year: 2024
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #biomedicine
🗓Publish year: 2024
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #biomedicine
YouTube
TAMEST 2024: AI in Biomedicine: Illustrative Examples
David Glazer
Workbench Chief Technology Officer
Verily
Download slides here: https://utexas.box.com/s/ewwgw9rlraihjuu5358dkhcyapwbfees
Workbench Chief Technology Officer
Verily
Download slides here: https://utexas.box.com/s/ewwgw9rlraihjuu5358dkhcyapwbfees
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📹 A historical perspective of Artificial Intelligence (AI) and its implications for our future
💥Department of Computational Medicine and Bioinformatics (DCMB), University of Michigan
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #biomedicine
💥Department of Computational Medicine and Bioinformatics (DCMB), University of Michigan
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #biomedicine
YouTube
A historical perspective of Artificial Intelligence (AI) and its implications for our future
"A historical perspective of Artificial Intelligence (AI) and its implications
for our future"
BIOINF-527 Lecture Presented by
Brian D. Athey
Michael Savageau Collegiate Professor and Chair
Department of Computational Medicine and Bioinformatics (DCMB)…
for our future"
BIOINF-527 Lecture Presented by
Brian D. Athey
Michael Savageau Collegiate Professor and Chair
Department of Computational Medicine and Bioinformatics (DCMB)…
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👨🏫 From April 20,2024 - One month International online Workshop by Decode Life.
💥 Bioinformatics Data Science with R, 9th Edition 2024 💥
🔻 Including 5 day Project on Building *_Machine Learning_* model
🗓 Duration: 20 April - 12 May, 2024
✍️ Registration Link
https://decodelife.co.in
💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗Our network
https://www.linkedin.com/company/decode-life
🔻Please subscribe-
🔹Facebook – www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo
📲Channel: @Bioinformatics
💥 Bioinformatics Data Science with R, 9th Edition 2024 💥
🔻 Including 5 day Project on Building *_Machine Learning_* model
🗓 Duration: 20 April - 12 May, 2024
✍️ Registration Link
https://decodelife.co.in
💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation
ℹ️ Recording & material will be shared immediately after sessions
❔Frequently asked questions
https://decodelife.co.in/faq
🔗Our network
https://www.linkedin.com/company/decode-life
🔻Please subscribe-
🔹Facebook – www.facebook.com/decodelifebio
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo
🔹Linked in- www.linkedin.com/company/decode-life
🔹Threads -www.threads.net/@decode_life_bioinfo
📲Channel: @Bioinformatics
👍6❤3
📑 Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine
📗Journal: Briefings in Bioinformatics (I.F.= 9.5)
🗓 Publish year: 2024
🧑💻Authors: Peng Zhang, Dingfan Zhang, Wuai Zhou, ...
🏢University: Tsinghua University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #pharmacology #network #ai #medicine
📗Journal: Briefings in Bioinformatics (I.F.= 9.5)
🗓 Publish year: 2024
🧑💻Authors: Peng Zhang, Dingfan Zhang, Wuai Zhou, ...
🏢University: Tsinghua University, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #pharmacology #network #ai #medicine
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