Name: Saeed Ahmed
Type: User
Company: Protein Bioinformatics, Faculty of Medicine / Department of Experimental Medical Science
Bio: Machine learning, Data mining, Bioinformatics and Classification
Twitter: AhmadNawagai
Location: Sölveg 19, BMC B13, 221 84 Lund, Sweden
Blog: https://www.lunduniversity.lu.se/lucat/group/v1000399
Saeed Ahmed's Projects
12 Weeks, 24 Lessons, AI for All!
Rmd source files for the HarvardX series PH525x
Girirajan Lab: Beginners guide to bioinformatics
Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Phosphorylated protein prediction, LFDA
iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.
A novel approach to the classification of antimicrobial peptides (AMPs) using pre-trained language models to create contextual vectorized embeddings of each peptide sequence before a convolutional neural network is used as the classifier.
📺 Discover the latest machine learning / AI courses on YouTube.
A multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths
PredAoDp: Accurate Identification of Antioxidant Proteins by Fusing Two Different Descriptors Based on Evolutionary Information with Support vector machine
A game theoretic approach to explain the output of any machine learning model.