Md. Ashad Alam

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HONG-WEN DENGtulane universityVerified email at tulane.edu
Yu-Ping WangProfessor of Biomedical Engineering, Tulane UniversityVerified email at tulane.edu
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
Md Mehedi Hasan, PhDLouisiana State University, USAVerified email at lsu.edu
Watshara ShoombuatongAssociate Professor of Bioinformatics, Mahidol UniversityVerified email at mahidol.ac.th
Mohammed NasserProfessor, Department of Statistics, Rajshahi UniversityVerified email at ru.ac.bd
Md Mamun, PhDPostdoctoral Fellow, Southern Methodist University, Dallas, USAVerified email at mail.smu.edu
Xiaowen (Kevin) LiuDivision of Biomedical Informatics and Genomics, School of Medicine, Tulane UniversityVerified email at tulane.edu
Praveen SurendranUniversity of CambridgeVerified email at medschl.cam.ac.uk
Hua ZhongUniversity of Hawaii Cancer CenterVerified email at cc.hawaii.edu
Lang WuUniversity of HawaiiVerified email at mayo.edu
Adam ButterworthProfessor of Molecular EpidemiologyVerified email at medschl.cam.ac.uk
Shuai LiuSchool of Electrical and Electronic Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Nazrul M. IslamHitachi Zosen CorporationVerified email at chemist.com
Dr. Md. Nurul Haque MollahProfessor of Statistics, University of RajshahiVerified email at ru.ac.bd
Nishith KumarDepartment of Statistics, Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityVerified email at bsmrstu.edu.bd
Md Siraj- Ud-DoulahAssociate Professor in StatisticsVerified email at brur.ac.bd
Chuan QiuSchool of Medicine, Tulane University, USAVerified email at tulane.edu
Muhammad Adeel ParvazIcahn School of Medicine at Mount SinaiVerified email at mssm.edu

Md. Ashad Alam

Instructor of Statistics and Data Science, Tulane University School of Medicine, USA

Verified email at tulane.edu - Homepage

Data science Statistical machine learning Robust statistics Causal inference and Imaging genetics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Prediction of algal chlorophyll-a and water clarity in monsoon-region reservoir using machine learning approaches M Mamun, JJ Kim, MA Alam, KG An Water 12 (1), 30, 2019	73	2019
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning MM Hasan, MA Alam, W Shoombuatong, HW Deng, B Manavalan, ... Briefings in Bioinformatics 22 (6), bbab167, 2021	66	2021
Deepm5C: a deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy MM Hasan, S Tsukiyama, JY Cho, H Kurata, MA Alam, X Liu, ... Molecular Therapy 30 (8), 2856-2867, 2022	58	2022
Hyperparameter selection in kernel principal component analysis MA Alam, K Fukumizu Journal of Computer Science 10 (7), 1139, 2014	40	2014
A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia MA Alam, HY Lin, HW Deng, VD Calhoun, YP Wang Journal of neuroscience methods 309, 161-174, 2018	28	2018
Higher-order regularized kernel canonical correlation analysis M Ashad Alam, K Fukumizu International Journal of Pattern Recognition and Artificial Intelligence 29 …, 2015	24	2015
Effect of sun drying on the composition and shelf life of Goat Meat (Capra aegagrus hircus) MN Islam, MN Alam, MR Amin, DC Roy Res. Pub. J 4 (2), 114-123, 2010	22	2010
Influence function and robust variant of kernel canonical correlation analysis MA Alam, K Fukumizu, YP Wang Neurocomputing 304, 2-29, 2018	19	2018
Recent development of bioinformatics tools for microRNA target prediction MS Khatun, MA Alam, W Shoombuatong, MNH Mollah, H Kurata, ... Current Medicinal Chemistry 29 (5), 865-880, 2022	18	2022
A Comparative Study of Kernel and Robust Canonical Correlation Analysis. AM Alam, M Nasser, K Fukumizu Journal of Multimedia 5 (1), 2010	16	2010
Sensitivity analysis in robust and kernel canonical correlation analysis MA Alam, M Nasser, K Fukumizu 2008 11th International Conference on Computer and Information Technology …, 2008	16	2008
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics MA Alam, VD Calhoun, YP Wang Computational Statistics & Data Analysis 125, 70-85, 2018	14	2018
Learning schizophrenia imaging genetics data via multiple kernel canonical correlation analysis O Richfield, MA Alam, V Calhoun, YP Wang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016	13	2016
Influence function of multiple kernel canonical analysis to identify outliers in imaging genetics data MA Alam, V Calhoun, YP Wang Proceedings of the 7th acm international conference on bioinformatics …, 2016	13	2016
Higher-order regularized kernel CCA MA Alam, K Fukumizu 2013 12th International Conference on Machine Learning and Applications 1 …, 2013	12	2013
Kernel Choice for Unsupervised Kernel Methods AM Alam	11	2014
IRC-Fuse: Improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations MM Hasan, MA Alam, W Shoombuatong, H Kurata Journal of Computer-Aided Molecular Design 35, 315-323, 2021	9	2021
PUP-fuse: prediction of protein pupylation sites by integrating multiple sequence representations FN Auliah, AN Nilamyani, W Shoombuatong, MA Alam, MM Hasan, ... International journal of molecular sciences 22 (4), 2120, 2021	9	2021
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics M Ashad Alam, O Komori, HW Deng, VD Calhoun, YP Wang Journal of bioinformatics and computational biology 17 (04), 1950028, 2019	9	2019
Associations between genetically predicted plasma protein levels and Alzheimer’s disease risk: a study using genetic prediction models J Zhu, S Liu, KA Walker, H Zhong, DH Ghoneim, Z Zhang, P Surendran, ... Alzheimer's Research & Therapy 16 (1), 8, 2024	7	2024

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