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

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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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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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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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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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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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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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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An Improved Clustering Algorithm Based on k-Means and Artificial Bee Colony Optimization for Datasets that Contain Outliers by Balachandran, Anu, Nazeer, K.A. Abdul

“…k-Means clustering algorithm is the most widely used algorithm in clustering. It is most popular because of its simplicity. There are a lot of issues faced by…”
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Performance Evaluation of Deep Learning Architectures for Predicting 3D Dose Distributions in Automatic Radiotherapy Treatment Planning by Jha, Sakshi, Sajeev, Neelima, Rajesh Marchetti, Aarthi, Chandran, Lekshmy P., Abdul Nazeer, K.A

“…Radiation therapy is a leading treatment methods for cancer today, but its advancement has come at the cost of increased complexities of treatment plans, and…”
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An improved Clustering Algorithm based on Fuzzy C-means and Artificial Bee Colony Optimization by Kaur, Jaspreet, Nazeer, K.A. Abdul

“…Fuzzy C-means (FCM) is considered to be one of the most popular fuzzy clustering techniques. However, it has the limitation of producing bad results due to its…”
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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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Disease prediction using optimal feature selection from epigenetic data by Siyad, B. Mohammed, Visakh, R, Abdul Nazeer, K.A.

“…Epigenetic changes are identified to correlate with gene expression changes among numerous diseases including cancer. Although integrated data analysis tools…”
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A self organizing map-harmony search hybrid algorithm for clustering biological data by George, Abin John, Gopakumar, G., Pradhan, Meeta, Abdul Nazeer, K.A., Palakal, Mathew J.

“…Self Organizing Map (SOM) is a significant algorithmic methodology to visualize data spaces of larger dimensions. Accurate analysis of the input data requires…”
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Text Mining for Finding Acronym-Definition Pairs from Biomedical Text Using Pattern Matching Method with Space Reduction Heuristics by Rafeeque, P.C., Abdul Nazeer, K.A.

“…This paper deals with the problem of mining acronyms and their definitions from biomedical text. We propose an effective text mining system by using pattern…”
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