Search Results - "Abdul Nazeer, K. A."

An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies by Kleenankandy, Jeena, K A, Abdul Nazeer

“…•Composing meaning of a sentence from its words is crucial in most NLP tasks.•Type of grammatical relation between words contributes to the semantic…”
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An enhanced deterministic K-Means clustering algorithm for cancer subtype prediction from gene expression data by Nidheesh, N., Abdul Nazeer, K.A., Ameer, P.M.

“…Clustering algorithms with steps involving randomness usually give different results on different executions for the same dataset. This non-deterministic…”
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A computational method for drug repositioning using publicly available gene expression data by Shabana, K M, Abdul Nazeer, K A, Pradhan, Meeta, Palakal, Mathew

“…The identification of new therapeutic uses of existing drugs, or drug repositioning, offers the possibility of faster drug development, reduced risk, lesser…”
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Content based medical image retrieval using topic and location model by Shamna, P., Govindan, V.K., Abdul Nazeer, K.A.

“…[Display omitted] •Medical image retrieval based on Topic and Location probabilities of visual words.•The topic information is generated using Guided Latent…”
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Identifying epigenetically dysregulated pathways from pathway-pathway interaction networks by Visakh R, Nazeer, K.A. Abdul

“…Abstract Background: Identification of pathways that show significant difference in activity between disease and control samples have been an interesting topic…”
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DEEPAligner: Deep encoding of pathways to align epigenetic signatures by Visakh, R., Abdul Nazeer, K.A.

“…[Display omitted] •Epigenetic mechanisms like DNA Methylation regulate biological pathways.•Pathways encode strong methylation signatures that distinguish…”
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Integration of autoencoder and graph convolutional network for predicting breast cancer drug response by Abinas, V, Abhinav, U, Haneem, E M, Vishnusankar, A, Nazeer, K A Abdul

“…Breast cancer is the most prevalent type of cancer among women. The effectiveness of anticancer pharmacological therapy may get adversely affected by tumor…”
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Multi-network approach to identify differentially methylated gene communities in cancer by R., Visakh, Nazeer, K.A. Abdul

“…High-throughput Next Generation Sequencing tools have generated immense quantity of genome-wide methylation and expression profiling data, resulting in an…”
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A Hierarchical Clustering algorithm based on Silhouette Index for cancer subtype discovery from genomic data by Nidheesh, N., Nazeer, K. A. Abdul, Ameer, P. M.

“…Identifying potential novel subtypes of cancers from genomic data requires techniques to estimate the number of natural clusters in the data. Determining the…”
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Content-based medical image retrieval by spatial matching of visual words by Shamna, P., Govindan, V.K., Abdul Nazeer, K.A.

“…Content-Based Image Retrieval (CBIR) systems have recently emerged as one of the most promising and best image retrieval paradigms. To pacify the semantic gap…”
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Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies by Kleenankandy, Jeena, Nazeer, K A Abdul

“…Recursive neural networks (Tree-RNNs) based on dependency trees are ubiquitous in modeling sentence meanings as they effectively capture semantic relationships…”
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An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies by Kleenankandy, Jeena, Nazeer, K. A. Abdul

“…Information Processing & Management, Elsevier (2020) Tree-based Long short term memory (LSTM) network has become state-of-the-art for modeling the meaning of…”
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Deep neural network aided multi-omics drug response prediction for breast cancer by Vishnusankar, A, Unniyattil, Abhinav, Haneem, E M, Abinas, V, Abdul Nazeer, K A

“…Cancer is caused due to alterations in DNA sequences that act as a template in the production of proteins. Proteins control the structure and functions of…”
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Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies by Kleenankandy, Jeena, Nazeer, K A Abdul

“…Recursive neural networks (Tree-RNNs) based on dependency trees are ubiquitous in modeling sentence meanings as they effectively capture semantic relationships…”
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Drug Target Interaction Prediction using Graph Convolution based Neural Fingerprinting by Joshy, Adarsh, Kasyap, Govindu CJVS, Reddy, Puchakayala Dheeraj, Anjusha, I T, Abdul Nazeer, K A

“…The time and cost invested for development of new drugs for orphan diseases is substantial and it is not profitable as it only serves a small patient…”
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An Efficient Document Clustering Approach for Devising Semantic Clusters by Jasila, E. K., Saleena, N., Abdul Nazeer, K. A.

“…The rise of superfluous information day by day has made the clustering of information into meaningful sets challenging. We propose an efficient approach for…”
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Improved Parallel Clustering with Optimal Initial Centroids by Anitha, M.A., Nazeer, K.A. Abdul

“…Clustering of a large data set is one of the challenging tasks and it has much application in the areas such as bioinformatics, social networking, image…”
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Ontology Based Document Clustering - An Efficient Hybrid Approach by Jasila, E K, Saleena, N, Nazeer, K A Abdul

“…Recent research results show that ontology can be used to improve the accuracy of document clustering. Previous studies mainly focused on the preprocessing…”
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MemU-Net: A new volumetric dose prediction model using deep learning techniques in radiation treatment planning by Chandran, Lekshmy P., K.A., Abdul Nazeer, Puzhakkal, Niyas, Makuny, Dinesh

“…Automatic radiation treatment planning systems are gaining significance nowadays. This paper presents a novel deep learning architecture for automatically…”
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An improved method for extracting acronym-definition pairs from biomedical Literature by Saneesh Mohammed, N., Nazeer, K. A. Abdul

“…This paper deals with the problem of extracting acronym-definition pairs from biomedical text. We propose an improved Text mining system based on pattern…”
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