Biological sequence classification: A review on data and general methods
C Ao, S Jiao, Y Wang, L Yu, Q Zou - Research, 2022 - spj.science.org
With the rapid development of biotechnology, the number of biological sequences has
grown exponentially. The continuous expansion of biological sequence data promotes the …
grown exponentially. The continuous expansion of biological sequence data promotes the …
Evaluation of different computational methods on 5-methylcytosine sites identification
Methylcytosine (m5C) plays an extremely important role in the basic biochemical process.
With the great increase of identified m5C sites in a wide variety of organisms, their …
With the great increase of identified m5C sites in a wide variety of organisms, their …
[PDF][PDF] Enhanced data security of communication system using combined encryption and steganography
HTS ALRikabi, HT Hazim - iJIM, 2021 - lib.uowasit.edu.iq
Data security has become a paramount necessity and more obligation in daily life. Most of
our systems can be hacked, and it causes very high risks to our confidential files inside the …
our systems can be hacked, and it causes very high risks to our confidential files inside the …
Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
N 6-Methyladenosine (m6A) refers to methylation modification of the adenosine nucleotide
acid at the nitrogen-6 position. Many conventional computational methods for identifying N 6 …
acid at the nitrogen-6 position. Many conventional computational methods for identifying N 6 …
MK-FSVM-SVDD: a multiple kernel-based fuzzy SVM model for predicting DNA-binding proteins via support vector data description
Y Zou, H Wu, X Guo, L Peng, Y Ding… - Current …, 2021 - ingentaconnect.com
Background: Detecting DNA-binding proteins (DBPs) based on biological and chemical
methods is time-consuming and expensive. Objective: In recent years, the rise of …
methods is time-consuming and expensive. Objective: In recent years, the rise of …
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
DNA N4-methylcytosine (4mC) is an important genetic modification and plays crucial roles in
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …
Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications
Recent studies suggest that epi-transcriptome regulation via post-transcriptional RNA
modifications is vital for all RNA types. Precise identification of RNA modification sites is …
modifications is vital for all RNA types. Precise identification of RNA modification sites is …
SDM6A: a web-based integrative machine-learning framework for predicting 6mA sites in the rice genome
DNA N 6-adenine methylation (6mA) is an epigenetic modification in prokaryotes and
eukaryotes. Identifying 6mA sites in rice genome is important in rice epigenetics and …
eukaryotes. Identifying 6mA sites in rice genome is important in rice epigenetics and …
iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications
K Liu, W Chen - Bioinformatics, 2020 - academic.oup.com
Motivation RNA modifications play critical roles in a series of cellular and developmental
processes. Knowledge about the distributions of RNA modifications in the transcriptomes …
processes. Knowledge about the distributions of RNA modifications in the transcriptomes …
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …