DeepFunc: a deep learning framework for accurate prediction of protein functions from protein sequences and interactions
Annotation of protein functions plays an important role in understanding life at the molecular
level. High‐throughput sequencing produces massive numbers of raw proteins sequences …
level. High‐throughput sequencing produces massive numbers of raw proteins sequences …
Multi-type clustering and classification from heterogeneous networks
Heterogeneous information networks consist of different types of objects and links. They can
be found in several social, economic and scientific fields, ranging from the Internet to social …
be found in several social, economic and scientific fields, ranging from the Internet to social …
Network regression with predictive clustering trees
Network data describe entities represented by nodes, which may be connected with (related
to) each other by edges. Many network datasets are characterized by a form of …
to) each other by edges. Many network datasets are characterized by a form of …
Ensemble learning for multi-type classification in heterogeneous networks
Heterogeneous networks are networks consisting of different types of objects and links. They
can be found in several fields, ranging from the Internet to social sciences, biology …
can be found in several fields, ranging from the Internet to social sciences, biology …
[HTML][HTML] Relational tree ensembles and feature rankings
As the complexity of data increases, so does the importance of powerful representations,
such as relational and logical representations, as well as the need for machine learning …
such as relational and logical representations, as well as the need for machine learning …
ARWAR: a network approach for predicting adverse drug reactions
Predicting novel drug side-effects, or Adverse Drug Reactions (ADRs), plays an important
role in the drug discovery process. Existing methods consider mainly the chemical and …
role in the drug discovery process. Existing methods consider mainly the chemical and …
[HTML][HTML] Gene Ontology Capsule GAN: an improved architecture for protein function prediction
Proteins are the core of all functions pertaining to living things. They consist of an extended
amino acid chain folding into a three-dimensional shape that dictates their behavior …
amino acid chain folding into a three-dimensional shape that dictates their behavior …
NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification
Collective classification (CC) is a task to jointly classifying related instances of network data.
Enabling CC usually improves the performance of predictive models on fully-labeled training …
Enabling CC usually improves the performance of predictive models on fully-labeled training …
Using a human drug network for generating novel hypotheses about drugs
Analyzing different drugs for various purposes is an important issue in the area of
computational biology. We categorize the previous computational studies into Individual and …
computational biology. We categorize the previous computational studies into Individual and …
Target protein function prediction by identification of essential proteins in protein-protein interaction network
SN Basak, AK Biswas, S Saha, P Chatterjee… - … , and Business Analytics …, 2019 - Springer
Protein is one of the most essential components of a living cell. Any living organism requires
a modest amount of protein to function well. With the advancement in science and …
a modest amount of protein to function well. With the advancement in science and …