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Global alignment of PPI networks
(Springer, 2021)
Given multiple PPI networks from different species, the global PPI network alignment problem is that of providing a global mapping between the nodes of the networks or subnetworks within them. Functional orthology detection, ...
Structure of conflict graphs in constraint alignment problems and algorithms
(Discrete Mathematics Theoretical Computer Science, 2019)
We consider the constrained graph alignment problem which has applications in biological network analysis. Given two input graphs G1 = (V1, E1), G2 = (V2, E2), two vertices u1, v1 of G1 paired respectively to two vertices ...
Target-independent prediction of drug synergies using only drug lipophilicity
(Journal of Chemical Information and Modeling, 2014)
Physicochemical properties of compounds have been instrumental in selecting lead compounds with increased drug-likeness. However, the relationship between physicochemical properties of constituent drugs and the tendency ...
Effect of vitamin d levels on lipid, glucose, vitamin b12 and c-reactive protein in acute ischemic stroke
(Annals of Medical Research, 2020)
Aim: Stroke ranks second among the causes of death world wideand related disability and death rates are high. Recent studies have shown that vitamin D deficiency is higher in patients with ischemic stroke compared to other ...
Prediction of VLDL cholesterol value with machine learning techniques
(Springer, 2021)
Cholesterol is an oil-like substance that is found in the membranes of animal cells and also
carried in blood plasma, which has some vital functions in the human body, especially in the endocrine
and digestive systems. ...
RBPmotif: a web server for the discovery of sequence and structure preferences of RNA-binding proteins
(Nucleic acids research, 2013)
RBPmotif web server (http://www.rnamotif.org) implements tools to identify binding preferences of RNA-binding proteins (RBPs). Given a set of sequences that are known to be bound and unbound by the RBP of interest, RBPmotif ...
Ranking cancer drivers via betweenness-based outlier detection and random walks
(BMC Bioinformatics, 2021)
Background Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. Results
We propose ...
A novel fuzzy random forest model for meteorological drought classification and prediction in ungauged catchments
(Pure and Applied Geophysics, 2020)
This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI) classification and prediction with a noteworthy application in ...
A translational repression complex in developing mammalian neural stem cells that regulates neuronal specification
(Neuron, 2018)
The mechanisms instructing genesis of neuronal sub-types from mammalian neural precursors are not well understood. To address this issue, we have characterized the transcriptional landscape of radial glial precursors (RPs) ...
Magnification-specific and magnification-independent classification of breast cancer histopathological image using deep learning approaches
(Springer London, 2023)
Breast cancer (BC) is a massive health problem and a deadly disease, killing millions of people every year. Computerized approaches for automated malignant BC detection can efficiently help in reducing the manual workload ...
