💊Prediction of Drug-Drug Interactions with Artificial Intelligence
💥Recorded webinar from FDA

🎞 Watch

📲Channel: @Bioinformatics
#video #drug #ai

🎥 R or Python, Which Should I Learn as a Bioinformatician?
💥 Recorded webinar from NIH

🎞 Watch

📲Channel: @Bioinformatics
#video #r #python

📄Artificial intelligence assists precision medicine in cancer treatment

📘Journal: Frontiers in Oncology (I.F.=4.7)
🗓Publish year: 2023

📎 Study the paper

📲Channel: @Bioinformatics
#review #cancer #precision_medicine

📽 Data Wrangling with R
💥 Bioinformatics Training and Education Program from NIH, 2022

📦 Course Materials
▫️Lesson 1: Introduction to R, RStudio
▫️Lesson 2: Getting started with R
▫️Lesson 3: Importing and reshaping data
▫️Lesson 4: Data Visualization with ggplot2
▫️Lesson 5: Introducing dplyr and the pipe
▫️Lesson 6: Continue data wrangling with dplyr
▫️Lesson 7: Important concepts review

📲Channel: @Bioinformatics
#video #course #r

📑 Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

📘Journal: Frontiers in Medicine (I.F.=3.9)
🗓Publish year: 2023

📎 Study the paper

📲Channel: @Bioinformatics
#review #deep_learning #drug_reproposing #cancer

📑Modelling peptide–protein complexes: docking, simulations and machine learning

📓 Journal: QRB Discovery
🗓Publish year: 2022

📎 Study the paper

📲Channel: @Bioinformatics
#review #docking #machine_learning

📽single-cell RNAseq analysis complete class
💥Covering doublet removal, preprocessing, integration, clustering, cell identification, differential expression, gene-set enrichment, non-parametric statistical testing, single-cell gene signature scoring, plotting, and more in python

🎞 Watch

📦 Codes

📃 Reference paper

📲Channel: @Bioinformatics
#video #rnaseq

📄Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends

📘journal: HEALTHCARE-BASEL (I.F=2.8)
🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Disease #Prediction #Graph_Machine_Learning #Electronic #Health #Trends #Review

👨‍🏫 Registration is open to One month International Bioinformatics Workshop by Decode Life.

💥 Cancer Genomics 6th Ed, 2023💥

🗓 Duration: 12 August - 6 September, 2023

✍️ Registration Link
https://decodelife.co.in

Topics :
▫️Core Skills
▫️Data Retrieval
▫️Trannoscriptomics
▫️Visualization and Interpretation
▫️Weighted Gene co-expression network analysis
▫️Multiomics Data Integration using R

💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

💥Key Features:
▫️ 23 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

📄A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics

📘Journal: Healthcare Analytics
🗓Publish year: 2023

📎 Study the paper

📲Channel: @Bioinformatics
#review #colud_computing

🎓 Towards causality in gene regulatory network inference

📔PhD Thesis from Massachusetts Institute of Technology

🗓Publish year: 2023

📎 Study thesis

📲Channel: @Bioinformatics
#thesis #gene_regulatory

📄A comprehensive review of machine learning techniques on diabetes detection

📘Journal: Visual Computing for Industry, Biomedicine, and Art
🗓Publish year: 2021

📎 Study the paper

📲Channel: @Bioinformatics
#review #diabetes #machine_learning

🎞Bioinformatics with R & Linux
💥Full course with 25 session from Michael W. Vandewege (North Carolina State University)

📹 Watch

📲Channel: @Bioinformatics
#video #course #r