M. S. Rahman

发表

Obesity in Qatar: A Case-Control Study on the Identification of Associated Risk Factors

Junaed Younus Khan, Md. Tawkat Islam Khondaker, T. Alam, 2020, Diagnostics.

Align-gram: Rethinking the Skip-gram Model for Protein Sequence Analysis pdf

Md. Shamsuzzoha Bayzid, M. Sohel Rahman, Nabil Ibtehaz, 2020, The Protein Journal.

Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants

M. Daly, P. May, K. Lage, 2020, Proceedings of the National Academy of Sciences.

Burden analysis of missense variants in 1,330 disease-associated genes on 3D provides insights into the mutation effects

M. Daly, P. May, K. Lage, 2019 .

Out of Sight, out of Mind? Modeling the Impacts of Financial Squeeze on Extended Supply Chain Networks

Paul F. Skilton, E. Bernardes, I. Giannoccaro, 2021 .

A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset.

M. Mahdy, Aimon Rahman, H. Zunair, 2020, Tissue & cell.

An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning

Mohammad Sohel Rahman, Reaz Chowdhury, M. Mahdy, 2019, Physica A: Statistical Mechanics and its Applications.

Multinomial Convolutions for Joint Modeling of Regulatory Motifs and Sequence Activity Readouts

Md. Abul Hassan Samee, Mohammed Abid Abrar, M. Rahman, 2022, Genes.

The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US

U. Haque, M. Bhuiyan, D. Keellings, 2021, International journal of environmental research and public health.

Transit network design by genetic algorithm with elitism

Md. Khaledur Rahman, Muhammad Ali Nayeem, Md. Khaledur Rahman, 2014 .

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach (Preprint)

Junaed Younus Khan, Md. Tawkat Islam Khondaker, Iram Tazim Hoque, 2020 .

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Hamada R. H. Al-Absi, Mohammad Saifur Rahman, Tanvir Alam, 2020, JMIR medical informatics.

Accurate Phylogenetic Tree Reconstruction from Quartets: A Heuristic Approach

Rezwana Reaz, Md. Shamsuzzoha Bayzid, M. Sohel Rahman, 2014, PloS one.

SSG-LUGIA: Single Sequence based Genome Level Unsupervised Genomic Island Prediction Algorithm

Md. Shamsuzzoha Bayzid, M. Rahman, R. Azad, 2021, Briefings Bioinform..

COVID-19Base v3: Update of the knowledgebase for drugs and biomedical entities linked to COVID-19

D. Módos, T. Alam, R. Guler, 2023, Frontiers in Public Health.

CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning

Ali Haisam Muhammad Rafid, M. Rahman, Mohammad Sohel Rahman, 2020, BMC Bioinformatics.

Prediction of Lung Function in Adolescence Using Epigenetic Aging: A Machine Learning Approach

Sumaiya Tabassum Nimi, Md. Adnan Arefeen, J. Holloway, 2020, Methods and protocols.

An improved heuristic algorithm for sorting genomes with inverted block-interchanges

M. Sohel Rahman, Deen Md Abdullah, Wali Md Abdullah, 2011, 14th International Conference on Computer and Information Technology (ICCIT 2011).

CNN Model With Hilbert Curve Representation of DNA Sequence For Enhancer Prediction

Mohammad Saifur Rahman, Ibrahim Asadullah Tahmid, M. M. Anjum, 2019, bioRxiv.

SICaRiO: short indel call filtering with boosting.

Itsik Pe'er, Md Shariful Islam Bhuyan, M Sohel Rahman, 2020, Briefings in bioinformatics.

SICaRiO: Short Indel Call filteRing with bOosting

Mohammad Saifur Rahman, Itsik Pe'er, M. S. I. Bhuyan, 2019, bioRxiv.

Analyzing hCov genome sequences: Applying Machine Intelligence and beyond

M. Rahman, Sadia Tasnim, M. Rahman, 2020 .

Analyzing hCov Genome Sequences: Predicting Virulence and Mutation

Sadia Tasnim, N. Anjum, A. Saha, 2020, bioRxiv.

Multiobjective Formulation of Multiple Sequence Alignment for Phylogeny Inference

Rifat Shahriyar, Md. Shamsuzzoha Bayzid, M Sohel Rahman, 2020, IEEE Transactions on Cybernetics.

CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning

Ali Haisam Muhammad Rafid, Md. Toufikuzzaman, Mohammad Saifur Rahman, 2020, BMC Bioinformatics.

CRISPRpred: A flexible and efficient tool for sgRNAs on-target activity prediction in CRISPR/Cas9 systems

Md. Khaledur Rahman, M. S. Rahman, Md Khaledur Rahman, 2017, PloS one.

CRISPR-DIPOFF: An Interpretable Deep Learning Approach for CRISPR Cas-9 Off-Target Prediction

Md. Toufikuzzaman, M. Abul, M. S. Rahman, 2023, bioRxiv.

COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19 pdf

Hamada R. H. Al-Absi, Mohammad Saifur Rahman, Tanvir Alam, 2020, ArXiv.

SimpLiFiCPM: A Simple and Lightweight Filter-Based Algorithm for Circular Pattern Matching

Costas S. Iliopoulos, M. Samiruzzaman, M. Sohel Rahman, 2015, International journal of genomics.

Succinylated lysine residue prediction revisited

M. Rahman, Shehab S. Ahmed, Zaara T. Rifat, 2022, bioRxiv.

New efficient algorithms for the merged LCS problem with and without block constraints using sparse dynamic programming

M. S. Rahman, A. Rahman, 2012, 2012 15th International Conference on Computer and Information Technology (ICCIT).

The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US

M. Bhuiyan, D. Keellings, Renee F. Robinson, 2021, International journal of environmental research and public health.

CRISPRpred(SEQ): a sequence based tool for sgRNA on target activity prediction [(almost) beating Deep Learning pipelines by traditional machine learning]

Ali Haisam Muhammad Rafid, Md. Toufikuzzaman, M. Sohel Rahman, 2019, bioRxiv.

DeepBend: An interpretable model of DNA bendability

Md. Abul Hassan Samee, S. Sakib, M. Rahman, 2022, bioRxiv.