A novel deep learning identifier for promoters and their strength using heterogeneous features
<p>Promoters, which are short (50–1500 base-pair) in DNA regions, have emerged to play a critical role in the regulation of gene transcription. Numerous dangerous diseases, likewise cancer, cardiovascular, and inflammatory bowel diseases, are caused by genetic variations in promoters. Conseque...
Saved in:
| Main Author: | Aqsa Amjad (22155247) (author) |
|---|---|
| Other Authors: | Saeed Ahmed (417198) (author), Muhammad Kabir (4582228) (author), Muhammad Arif (769250) (author), Tanvir Alam (638619) (author) |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition
by: Albadawi, Yaman Sufian
Published: (2024) -
Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition
by: Albadawi, Yaman
Published: (2024) -
Static Video Summarization Using Video Coding Features with Frame-level Temporal Sub-Sampling and Deep Learning
by: Issa, Obada
Published: (2023) -
Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
by: Al-Bashabsheh, Emran
Published: (2023) -
Knowledge-based Deep Learning for Modeling Chaotic Systems
by: Elabid, Zakaria
Published: (2022)