Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Convolution Properties II01:17

Convolution Properties II

584
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
584
Divergence and Curl01:15

Divergence and Curl

3.2K
The divergence of a vector field at a point is the net outward flow of the flux out of a small volume through a closed surface enclosing the volume, as the volume tends to zero. More practically, divergence measures how much a vector field spreads out or diverges from a given point. For an outgoing flux, conventionally, the divergence is positive. The diverging point is often called the "source" of the field. Meanwhile, the negative divergence of a vector field at a point means that the vector...
3.2K
Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

3.7K
The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
3.7K
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

8.0K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
8.0K
Convolution Properties I01:20

Convolution Properties I

588
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
588
Encoding01:19

Encoding

845
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
845

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Human-Structure-Aware Token Position Embedding for Tokenized Pose Estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

GraphLooper: predicting chromatin loops based on hierarchical multi-view graph pooling method.

Briefings in bioinformatics·2026
Same author

LMSCDA: A Secondary Structure Enhanced Language Model for Predicting CircRNA and Disease Associations.

IEEE journal of biomedical and health informatics·2026
Same author

Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.

Nature communications·2026
Same author

SpaLSTF: Diffusion-based generative model with BiLSTM and XCA-Transformer for spatial transcriptomics imputation.

PLoS computational biology·2026
Same author

A scalable computational framework for predicting gene expression from candidate <i>cis</i>-regulatory elements.

Genome research·2026
Same journal

Investigating Effect of Dimensional Variance on Separation of Glomerular Ultrafiltrate in a Microfluidic Environment.

IEEE transactions on nanobioscience·2026
Same journal

Green synthesis of multifunctional ZnFe<sub>2</sub>O<sub>4</sub>-MWCNT-Cellulose acetate nanocomposite for peroxidase enzyme immobilization.

IEEE transactions on nanobioscience·2026
Same journal

IoT-Enabled SnOâ‚‚-Based Humidity Sensor for Real-Time Monitoring in Neonatal Incubators.

IEEE transactions on nanobioscience·2026
Same journal

Electrokinetic and Antibiofilm Effects of Silver Nanoparticles Combined with Imipenem Against multidrug-resistant of Klebsiella pneumoniae.

IEEE transactions on nanobioscience·2026
Same journal

Bio-inspired Optofluidic Molecular Communication with Photothermally Actuated Microrobot Swarms.

IEEE transactions on nanobioscience·2026
Same journal

Nanostructured ZnO Thin Film-Based Enzymatic Biosensor for Sensitive Acetylcholine Detection in Neurological Applications.

IEEE transactions on nanobioscience·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance
14:01

Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance

Published on: July 22, 2011

15.0K

DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition.

Wenxuan Xu, Lin Zhu, De-Shuang Huang

    IEEE Transactions on Nanobioscience
    |January 10, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Extracting human promoter features is challenging. A new deep convolutional divergence encoding (DCDE) method optimizes kmer features using statistical divergence and CNNs, significantly improving promoter recognition accuracy.

    More Related Videos

    Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
    06:49

    Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

    Published on: December 11, 2015

    9.3K
    A Screening Method for Identification of Heterochromatin-Promoting Drugs Using Drosophila
    06:22

    A Screening Method for Identification of Heterochromatin-Promoting Drugs Using Drosophila

    Published on: March 12, 2020

    6.4K

    Related Experiment Videos

    Last Updated: Jan 31, 2026

    Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance
    14:01

    Human In Vitro Suppression as Screening Tool for the Recognition of an Early State of Immune Imbalance

    Published on: July 22, 2011

    15.0K
    Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
    06:49

    Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

    Published on: December 11, 2015

    9.3K
    A Screening Method for Identification of Heterochromatin-Promoting Drugs Using Drosophila
    06:22

    A Screening Method for Identification of Heterochromatin-Promoting Drugs Using Drosophila

    Published on: March 12, 2020

    6.4K

    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Human gene regulation understanding relies on effective promoter analysis.
    • Current machine learning methods show limitations in eukaryotic promoter recognition due to sequence diversity.

    Purpose of the Study:

    • To develop an efficient method for human promoter feature extraction.
    • To enhance the accuracy of human promoter recognition.

    Main Methods:

    • Proposed a deep convolutional divergence encoding (DCDE) method.
    • Utilized statistical divergence (SD) for optimizing kmer feature extraction.
    • Employed convolutional neural networks (CNNs) for automatic deep feature extraction.
    • Constructed a hybrid recognition architecture with multiple SVMs and a bilayer decision method.

    Main Results:

    • DCDE effectively encodes human promoter sequences.
    • The method optimizes discriminative kmer distributions while preserving positional information.
    • CNNs extracted lower-dimensional deep features through secondary encoding.
    • Extensive experiments confirmed DCDE's effectiveness in improving promoter recognition performance.

    Conclusions:

    • DCDE offers an efficient approach to human promoter feature extraction.
    • The proposed method significantly enhances promoter recognition accuracy.
    • The DCDE framework is flexible and extensible to other genomic element identification tasks.