You will get fine-tuned transformer for precise prediction of TFBSs in DNA sequence
Project details
I will fine-tune a transformer (DNABERT, Nucleotide Transformer) to accurately predict Transcription Factor Binding Sites (TFBS) from DNA sequences. Unlike standard CNNs, my approach leverages self-attention to capture long-range dependencies and motifs. I also integrate DNA shape features (MGW, Propeller Twist, Roll, Helix Twist), positional encoding, and cross-species/cell-line validation for robust generalization. Trained on human/mouse data, the model delivers precise binary predictions (binding/non-binding) with metrics like AUC and F1-score. Ideal for researchers in regulatory genomics, epigenetics, and drug discovery. Code is clean, reproducible, and deployment-ready (FastAPI + Docker in advanced tier).
Machine Learning Tools
BERT, GPT-3, Keras, NumPy, PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 5 | 8 |
Number of Graphs/Charts | 2 | 10 | 16 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Model Variation
(+ 1 Day)
+$20About Adnan
Image Enhancement, upscale, restore and AI development
Multan, Pakistan - 4:52 pm local time
Steps for completing your project
After purchasing the project, send requirements so Adnan can start the project.
Delivery time starts when Adnan receives requirements from you.
Adnan works on your project following the steps below.
Revisions may occur after the delivery date.
I preprocess sequences
k-mer tokenization, compute shape features if requested, handle imbalanced data
Fine-tune transformer model
(DNABERT or Nucleotide Transformer) with optional ensemble