🎓PhD position of Computational Biology
at UNSW Sydney
💣Deadline: September 25, 2022
📲Channel: @Bioinformatics
#phd #position
at UNSW Sydney
💣Deadline: September 25, 2022
📲Channel: @Bioinformatics
#phd #position
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📑 Online Tools for Teaching Cancer Bioinformatics
📘 Journal: Journal of Microbiology & Biology Education
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#teaching #cancer
📘 Journal: Journal of Microbiology & Biology Education
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#teaching #cancer
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📽6 hours Bioinformatics lectures
🎞 Part 1 (Genomics)
🎞 Part 2 (Transcriptomics)
🎞 Part 3 (Epigenetics)
📲Channel: @Bioinformatics
#video #Genomics #Transcriptomics #Epigenetics
🎞 Part 1 (Genomics)
🎞 Part 2 (Transcriptomics)
🎞 Part 3 (Epigenetics)
📲Channel: @Bioinformatics
#video #Genomics #Transcriptomics #Epigenetics
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📃 Deep learning for drug repurposing: Methods, databases, and applications
📘Journal: WIREs Computational Molecular Science (I.F.=11.5)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#drug #reproposing #deep_learning
📘Journal: WIREs Computational Molecular Science (I.F.=11.5)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#drug #reproposing #deep_learning
👍4👏1
🎞 Bioinformatics for genomics and gene editing
💥From the Université de Montréal
📽 Watch
📲Channel: @Bioinformatics
#video #genomics #editing
💥From the Université de Montréal
📽 Watch
📲Channel: @Bioinformatics
#video #genomics #editing
👍6
📄Ten quick tips for biomarker discovery and validation analyses using machine learning
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
👍1
📑Deep learning-based clustering approaches for bioinformatics
📘 Journal:Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#review #deep_learning #clustering
📘 Journal:Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#review #deep_learning #clustering
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🎞 The History of Genomics Told Through Machine Learning
💥From NIH National Human Genome Research Institute
📽 Watch
📲Channel: @Bioinformatics
#video #genomics #machine_learning
💥From NIH National Human Genome Research Institute
📽 Watch
📲Channel: @Bioinformatics
#video #genomics #machine_learning
YouTube
The History of Genomics Told Through Machine Learning
To commemorate the 10th anniversary of the NHGRI History of Genomics Program, NHGRI hosted a virtual lecture titled “The history of genomics told through machine learning: A celebration of 10 years of the NHGRI history program.” Luís Amaral and Spencer Hong…
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📄Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction
📘 Journal: Current Genomics (I.F=2.689)
🗓Publish year: 2020
📎 Study paper
📲Channel: @Bioinformatics
#review #PPI
📘 Journal: Current Genomics (I.F=2.689)
🗓Publish year: 2020
📎 Study paper
📲Channel: @Bioinformatics
#review #PPI
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📃Data Science in Undergraduate Life Science Education
📘 Journal: BioScience (I.F=11.566)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#education #data_science
📘 Journal: BioScience (I.F=11.566)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#education #data_science
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🎓Machine Learning for Genomic Data
📘BSc thesis from University of NUS, Singapore
🗓Publish year: 2019
💥Abstract: This report explores the application of machine learning techniques on short timeseries gene expression data. Although standard machine learning algorithms work well on longer time-series’, they often fail to find meaningful insights from fewer timepoints.
In this report, we explore model-based clustering techniques. We combine popular unsupervised learning techniques like K-Means, Gaussian Mixture Models, Bayesian Networks, Hidden Markov Models with the well-known Expectation Maximization algorithm. K-Means and Gaussian Mixture Models are fairly standard, while Hidden Markov Model and Bayesian Networks clustering are more novel ideas that suit time-series gene expression data.
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #genomic #machine_learning
📘BSc thesis from University of NUS, Singapore
🗓Publish year: 2019
💥Abstract: This report explores the application of machine learning techniques on short timeseries gene expression data. Although standard machine learning algorithms work well on longer time-series’, they often fail to find meaningful insights from fewer timepoints.
In this report, we explore model-based clustering techniques. We combine popular unsupervised learning techniques like K-Means, Gaussian Mixture Models, Bayesian Networks, Hidden Markov Models with the well-known Expectation Maximization algorithm. K-Means and Gaussian Mixture Models are fairly standard, while Hidden Markov Model and Bayesian Networks clustering are more novel ideas that suit time-series gene expression data.
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #genomic #machine_learning
👍8
🎞 R Workshop: RNA-Seq From Raw to Processed Data
📽 Watch
📲Channel: @Bioinformatics
#video #workshop #rna-seq
📽 Watch
📲Channel: @Bioinformatics
#video #workshop #rna-seq
YouTube
R Workshop Series Part 1 - RNA-Seq: From Raw to Processed Data
As part of GrasPods Welcome Week 2021, we’re delighted to bring you Part 1 of a step-by-step RNA-seq data analysis workshop, in association with the BC Children’s Hospital Research Institute’s Trainee Omics Group (TOG).
TOG is the resident graduate trainee…
TOG is the resident graduate trainee…
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📑 Determining Protein–Protein Interaction Using Support Vector Machine: A Review
📘 Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#review #PPI #SVM
📘 Journal: IEEE Access (I.F=3.476)
🗓Publish year: 2021
📎 Study paper
📲Channel: @Bioinformatics
#review #PPI #SVM
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👨🏫 Registration is open to one month International Bioinformatics Workshop by DE<code>LIFE
💥 Data science and Machine learning with - "R" 💥
🗓 Duration: 26 September - 22 October, 2022
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features :
▫️ 20 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.
Note: video recording will be shared with participants immediately after each session along with relevant material.
❓Frequently asked questions
https://decodelife.co.in/faq/
📲Channel: @Bioinformatics
💥 Data science and Machine learning with - "R" 💥
🗓 Duration: 26 September - 22 October, 2022
✍️ Registration Link
https://decodelife.co.in
💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
💥Key Features :
▫️ 20 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.
Note: video recording will be shared with participants immediately after each session along with relevant material.
❓Frequently asked questions
https://decodelife.co.in/faq/
📲Channel: @Bioinformatics
👍8
📑 Introducing Programming Skills for Life Science Students
📘 Journal: Biochemistry and Molecular Biology Education (I.F=1.369)
🗓Publish year: 2019
📎 Study paper
📲Channel: @Bioinformatics
#programming
📘 Journal: Biochemistry and Molecular Biology Education (I.F=1.369)
🗓Publish year: 2019
📎 Study paper
📲Channel: @Bioinformatics
#programming
👍10
📃Changing Trends in Computational Drug Repositioning
📘 Journal: Pharmaceuticals (I.F=5.215)
🗓Publish year: 2018
📎 Study paper
📲Channel: @Bioinformatics
#review #drug #repositioning
📘 Journal: Pharmaceuticals (I.F=5.215)
🗓Publish year: 2018
📎 Study paper
📲Channel: @Bioinformatics
#review #drug #repositioning
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📄Best practices for the interpretation and reporting of clinical whole genome sequencing
📘 Journal: npj Genomic Medicine (I.F=6.083)
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#wgs
📘 Journal: npj Genomic Medicine (I.F=6.083)
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#wgs
👍6❤1
📑A review of deep learning applications in human genomics using next-generation sequencing data
📘 Journal: Human Genomics (I.F=6.481)
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#review #deep_learning #genomics #ngs
📘 Journal: Human Genomics (I.F=6.481)
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#review #deep_learning #genomics #ngs
👍5❤1
📃 Navigating the pitfalls of applying machine learning in genomics
📘 Journal: Nature Reviews Genetics (💥I.F.=59.581)
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#review #machine_learning #genomics
📘 Journal: Nature Reviews Genetics (💥I.F.=59.581)
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#review #machine_learning #genomics
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🧑🏫Learn Bioinformatics Online: Top Courses & Classes
📎 Study the article
📲Channel: @Bioinformatics
#course #certificate
📎 Study the article
📲Channel: @Bioinformatics
#course #certificate
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📑 A Review of Mathematical and Computational Methods in Cancer Dynamics
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#review #cancer #dynamics
🗓Publish year: 2022
📎 Study paper
📲Channel: @Bioinformatics
#review #cancer #dynamics
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