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Computer Science

D-Index
44
Citations
7032
World Ranking
7649
National Ranking
242

Overview

Alok Sharma is affiliated with Griffith University in Australia and has made contributions primarily in the field of Biochemistry, Genetics and Molecular Biology. Their research spans several subfields including Molecular Biology, Cognitive Neuroscience, Pharmacology, Artificial Intelligence, and Complementary and Alternative Medicine.

Their work focuses on a range of topics, notably:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Protein Structure and Dynamics
  • EEG and Brain-Computer Interfaces
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification

Recent papers authored or co-authored by Alok Sharma include:

  • Advances in AI and machine learning for predictive medicine (2024), Journal of Human Genetics
  • DeepFeature: feature selection in nonimage data using convolutional neural network (2021), Briefings in Bioinformatics

Other notable relevant papers in their collaborative network, though authored by colleagues, are:

  • Critical assessment of protein intrinsic disorder prediction (2021), Nature Methods
  • ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides (2021), Scientific Reports
  • Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data (2020), Alzheimer's Research & Therapy

Alok Sharma frequently collaborates with a group of researchers including:

  • Tatsuhiko Tsunoda
  • Abdollah Dehzangi
  • Swakkhar Shatabda
  • Keith A. Boroevich
  • Artem Lysenko

Their publications are most commonly found in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Briefings in Bioinformatics
  • Genes
  • Current Traditional Medicine

Alok Sharma contributes substantially to integrating computational methods such as deep learning and convolutional neural networks with biological data analysis. Their work includes using AI techniques for predictive medicine and bioinformatics feature selection, reflecting an interdisciplinary approach that bridges biological science and artificial intelligence.

Best Publications

  • Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

    Rhys Heffernan;Kuldip Paliwal;James Lyons;Abdollah Dehzangi

  • DeepInsight: a methodology to transform a non - image data to an image for convolution neural network architecture

    Alokanand Sharma;Edwin Vans;Edwin Vans;Daichi Shigemizu;Keith A. Boroevich

  • Linear discriminant analysis for the small sample size problem: an overview

    Alok Sharma;Alok Sharma;Kuldip Kumar Paliwal

  • Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC

    Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma;James Lyons

  • Fast principal component analysis using fixed-point algorithm

    Alok Sharma;Kuldip K. Paliwal

  • A Top-r Feature Selection Algorithm for Microarray Gene Expression Data

    Alok Sharma;Seiya Imoto;Satoru Miyano

  • SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks

    Yuedong Yang;Rhys Heffernan;Kuldip Paliwal;James Lyons

  • Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

    James G. Lyons;Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma

  • A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

    Alok Sharma;James Lyons;Abdollah Dehzangi;Abdollah Dehzangi;Kuldip Kumar Paliwal

  • An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

    Shiu Kumar;Shiu Kumar;Alok Sharma;Tatsuhiko Tsunoda

  • Autologous Bone Marrow Mononuclear Cell Therapy for Autism: An Open Label Proof of Concept Study

    Alok Sharma;Nandini Gokulchandran;Hemangi Sane;Anjana Nagrajan

  • A Deep Learning Approach for Motor Imagery EEG Signal Classification

    Shiu Kumar;Alok Sharma;Kabir Mamun;Tatsuhiko Tsunoda

  • Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

    Rhys Heffernan;Abdollah Dehzangi;Abdollah Dehzangi;James G. Lyons;Kuldip K. Paliwal

  • Cancer classification by gradient LDA technique using microarray gene expression data

    Alok Sharma;Kuldip K. Paliwal

  • Brain wave classification using long short-term memory network based OPTICAL predictor.

    Shiu Kumar;Alok Sharma;Tatsuhiko Tsunoda

  • Intrusion detection using text processing techniques with a kernel based similarity measure

    Alok Sharma;Arun K. Pujari;Kuldip K. Paliwal

  • PyFeat: A Python-based Effective Feature Generation Tool for DNA, RNA, and Protein Sequences.

    Rafsanjani Muhammod;Sajid Ahmed;Dewan M. Farid;Swakkhar Shatabda

  • Predict Gram-Positive and Gram-Negative Subcellular Localization via Incorporating Evolutionary Information and Physicochemical Features Into Chou's General PseAAC

    Ronesh Sharma;Abdollah Dehzangi;James Lyons;Kuldip Paliwal

  • Principal component analysis using QR decomposition

    Alok Sharma;Alok Sharma;Kuldip Kumar Paliwal;Seiya Imoto;Satoru Miyano

  • A feature selection method using improved regularized linear discriminant analysis

    Alok Sharma;Kuldip K. Paliwal;Seiya Imoto;Satoru Miyano

  • Null space based feature selection method for gene expression data

    Alok Sharma;Alok Sharma;Seiya Imoto;Satoru Miyano;Vandana Sharma

Frequent Co-Authors

Kuldip K. Paliwal
Kuldip K. Paliwal Griffith University
Abdollah Dehzangi
Abdollah Dehzangi Rutgers, The State University of New Jersey
Tatsuhiko Tsunoda
Tatsuhiko Tsunoda University of Tokyo
Abdul Sattar
Abdul Sattar Griffith University
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University
Victor Wray
Victor Wray Heinrich Heine University Düsseldorf
Ulrich S. Schubert
Ulrich S. Schubert Friedrich Schiller University Jena
Peter Henklein
Peter Henklein Humboldt-Universität zu Berlin
Yaoqi Zhou
Yaoqi Zhou Griffith University
Yuedong Yang
Yuedong Yang Sun Yat-sen University

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