-
Vol. 16, No. 5
Robust and Efficient Biomolecular Clustering of Tumor Based on p -Norm Singular Value Decomposition
High dimensionality has become a typical feature of biomolecular data. In this paper, a novel dimension reduction method named p-norm singular value decomposition (PSVD) is proposed to seek the low-rank approximation matrix to the biomolecular data.
-
Vol. 16, No. 4
Detection of Glutathione by Glutathione-S-Transferase – Nanoconjugate Ensemble Electrochemical Device
This paper reports a novel electrochemical method for detection of Glutathione (GSH) using Glutathione-S-Transferase (GST) – ZnO composite nanoparticles to investigate the prospects of the method for detection of cancer at an early stage.
-
Vol. 16, No. 3
Abnormality Detection in Correlated Gaussian Molecular Nano-Networks: Design and Analysis
A nano-abnormality detection scheme (NADS) in molecular nano-networks is studied. This is motivated by the fact that early detection of diseases such as cancer plays a crucial role in their successful treatment.
-
Vol. 16, No. 3
Use of Model Predictive Control and Artificial Neural Networks to Optimize the Ultrasonic Release of a Model Drug From Liposomes
The use of echogenic liposomes to deliver chemotherapeutic agents for cancer treatment has gained wide recognition in the last 20 years. Cancerous cells can develop multiple drug resistance (MDR), in part, due to the drop in concentration of chemotherapeutic agents below the therapeutic levels inside the tumor.
-
Vol. 15, No. 8
Nanoparticles for siRNA-Based Gene Silencing in Tumor Therapy
Gene silencing through RNA interference (RNAi) has emerged as a potential strategy in manipulating cancer causing genes by complementary base-pairing mechanism. Small interfering RNA (siRNA) is an important RNAi tool that has found significant application in cancer therapy.
-
Vol. 15, No. 6
Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data
The Cancer Genome Atlas (TCGA) dataset provides us more opportunities to systematically and comprehensively learn some biological mechanism of cancers formation, growth and metastasis.
-
Vol. 15, No. 4
Identifying Individual-Cancer-Related Genes by Re-balancing the Training Samples
The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far less…
-
Vol. 15, No. 4
Integrating Omics Data With a Multiplex Network-Based Approach for the Identification of Cancer Subtypes
Comprehensive characterization and identification of cancer subtypes have a number of applications and implications in life science and cancer research. Technologies centered on…
-
Vol. 15, No. 3
Molecular Communication Model for Targeted Drug Delivery in Multiple Disease Sites With Diversely Expressed Enzymes
Targeted drug delivery (TDD) for disease therapy using liposomes as nanocarriers has received extensive attention in the literature. The liposome’s ability to incorporate capabilities such as long circulation, stimuli responsiveness, and targeting characteristics, makes it a versatile nanocarrier.
-
Vol. 14, No. 8
Centrifugal Filter Device for Detection of Rare Cells With Immuno-Binding
Many investigations have shown circulating tumor cells (CTCs) to serve as a significant biomarker of cancer progression and for cancer treatment.