Interdisciplinary Sciences: Computational Life Sciences
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An Effective Convolutional Neural Network for Classifying Red Blood Cells in Malaria Diseases
Interdisciplinary Sciences: Computational Life Sciences - Tập 12 - Trang 217-225 - 2020
Malaria is one of the epidemics that can cause human death. Accurate and rapid
diagnosis of malaria is important for treatment. Due to the limited number of
data and human factors, the prediction performance and reliability of
traditional classification methods are often affected. In this study, we propose
an efficient and novel classification network named Attentive Dense Circular Net
(ADCN) whic...
Application of Immune Checkpoint Inhibitors in Solid Organ Transplantation Recipients: A Systematic Review
Interdisciplinary Sciences: Computational Life Sciences - Tập 13 Số 4 - Trang 801-814 - 2021
Solid organ transplantation (SOT) is a treatment method for end-stage organ
diseases and improve their life quality, while using long-term immunosuppressant
drugs (ISD) is needed to suppress the function of the immune system. Immune
checkpoint inhibitors (ICIs) are a class of anti-tumor drugs that kill tumors by
activating the autoimmune system. The primary objective of our systematic review
is to...
Prot-Prop: J-tool to predict the subcellular location of proteins based on physiochemical characterization
Interdisciplinary Sciences: Computational Life Sciences - Tập 4 - Trang 296-301 - 2013
PROT-PROP is a computational tool to characterize 27 physicochemical properties
of a protein along with its subcellular location (intra or extra) in a
single-window application. Other significant features of this software include
calculation of numerical values for hydrophobicity, hydrophilicity; composition
of small and large amino acids; net hydrophobic content in terms of low/high;
and Navie’s ...
A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model
Interdisciplinary Sciences: Computational Life Sciences - Tập 12 - Trang 461-475 - 2020
The selection of gene identifier from microarray databases is a challenging task
since microarray contains large number of gene attributes for a few samples.
This article proposes a novel fuzzy-rough set-based gene expression features
selection using fuzzy-rough reduct under multi-granular space for human diabetes
patient. Firstly, fuzzy multi-granular gain has been computed from the
expression da...
Predicting Km values of beta-glucosidases using cellobiose as substrate
Interdisciplinary Sciences: Computational Life Sciences - Tập 4 - Trang 46-53 - 2012
The Michaelis-Menten constant Km is a very important parameter to relate enzyme
with its substrate in enzymatic reaction. Although Km can be experimentally
determined, the Km values are not easily available in literature. With rapid
increase of newly designed enzymes, we face the shortage of parameters related
to enzymatic reactions. The beta-glucosidase is a crucial enzyme for cellulose
hydrolysi...
CAHECA: Computer Aided Hepatocellular Carcinoma therapy planning
Interdisciplinary Sciences: Computational Life Sciences - Tập 6 - Trang 222-234 - 2014
Hepatocellular Carcinoma is the most common type of liver cancer having a strong
relation with cirrhosis. Undoubtedly, cirrhosis may be caused by the virus
infection of hepatitis B (HBV) and hapatitis C (HBC) or through alchoholism.
However, even when cirrhosis has not been developed, patients with hepatitis
viral infections are still at the risk of liver cancer. Apparently, among the
numerous med...
Accelerating Biomedical Signal Processing Using GPU: A Case Study of Snore Sound Feature Extraction
Interdisciplinary Sciences: Computational Life Sciences - Tập 9 - Trang 550-555 - 2017
The advent of ‘Big Data’ and ‘Deep Learning’ offers both, a great challenge and
a huge opportunity for personalised health-care. In machine learning-based
biomedical data analysis, feature extraction is a key step for ‘feeding’ the
subsequent classifiers. With increasing numbers of biomedical data, extracting
features from these ‘big’ data is an intensive and time-consuming task. In this
case stud...
Gene Selection in a Single Cell Gene Space Based on D–S Evidence Theory
Interdisciplinary Sciences: Computational Life Sciences - Tập 14 - Trang 722-744 - 2022
If the samples, features and information values in a real-valued information
system are cells, genes and gene expression values, respectively, then for
convenience, this system is said to be a single cell gene space. In the era of
big data, people are faced with high dimensional gene expression data with
redundancy and noise causing its strong uncertainty. D–S evidence theory excels
at tackling th...
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach
Interdisciplinary Sciences: Computational Life Sciences - Tập 15 - Trang 262-272 - 2023
Differentiation of ductal carcinoma in situ (DCIS, a precancerous lesion of the
breast) from fibroadenoma (FA) using ultrasonography is significant for the
early prevention of malignant breast tumors. Radiomics-based artificial
intelligence (AI) can provide additional diagnostic information but usually
requires extensive labeling efforts by clinicians with specialized knowledge.
This study aims to...
In-silico characterization of Formin Binding Protein 4 Family of proteins
Interdisciplinary Sciences: Computational Life Sciences - Tập 7 - Trang 43-64 - 2014
Members of the Formin Binding Protein 4 Family or the FNBP4 were indirectly
reported to be associated with many of the biological processes. These proteins
possess two WW domains. So far there are practically no reports regarding the
characterization and classification of the protein by any means. Keeping in mind
the importance of the proteins from this FNBP4 family, we have tried an in
silico app...
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