Saptarshi Bej

发表

Cross-tissue transcriptome-wide association studies identify susceptibility genes shared between schizophrenia and inflammatory bowel disease

M. Nöthen, S. Brunak, O. Wolkenhauer, 2022, Communications Biology.

Cross-tissue transcriptome-wide association studies of 885,176 individuals and seven diseases of the gut-brain axis identify susceptibility genes shared between schizophrenia and inflammatory bowel disease

M. Nöthen, S. Brunak, O. Wolkenhauer, 2021 .

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

O. Wolkenhauer, R. David, M. Wolfien, 2021, BMC Bioinformatics.

Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression.

C. Gieger, M. Waldenberger, A. Peters, 2019, The Journal of allergy and clinical immunology.

Comprehensive Characterization of Multitissue Expression Landscape, Co-Expression Networks and Positive Selection in Pikeperch

T. Goldammer, R. Brunner, Marieke Verleih, 2021, Cells.

Self-Attention-Based Models for the Extraction of Molecular Interactions from Biological Texts

O. Wolkenhauer, Kristina Yordanova, S. Bej, 2021, Biomolecules.

Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach

O. Wolkenhauer, Pabitra Mitra, Saikat Biswas, 2022, Nutrition & Diabetes.

Identification and Epidemiological Characterization of Non-obese Type 2 Diabetic Sub-populations in the NFHS-4 Study using an Unsupervised Machine Learning Approach

O. Wolkenhauer, S. Bej, P. Mitra, 2020, medRxiv.

Prevalence of Non-obese Type 2 Diabetes in economically disadvantaged Indian rural populations

O. Wolkenhauer, Pabitra Mitra, Saikat Biswas, 2020 .

Contribution of Synthetic Data Generation towards an Improved Patient Stratification in Palliative Care

O. Wolkenhauer, M. Sedlmayr, M. Wolfien, 2022, Journal of personalized medicine.

On Minimum Order of Odd Regular Graphs Without Perfect Matching

Anirban Banerjee, S. Bej, Saptarshi Bej, 2014, 1407.6247.

LoRAS: an oversampling approach for imbalanced datasets pdf

Olaf Wolkenhauer, Markus Wolfien, Saptarshi Bej, 2019, Machine Learning.

A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets

Olaf Wolkenhauer, Prashant Srivastava, Kristian Schulz, 2021, IEEE Access.

Coloring Sums of Extensions of Certain Graphs

J. Kok, S. Bej, Saptarshi Bej, 2016, 1602.03735.

Acid leaching of hydrothermally carbonized sewage sludge: phosphorus recovery and hydrochar characteristics

Tom C. Ender, M. Nelles, S. Narra, 2023, Frontiers in Environmental Engineering.

Protein-coding variants contribute to the risk of atopic dermatitis and skin- 1 specific gene expression 2

M. Waldenberger, K. Strauch, T. Ahluwalia, 2019 .

Factors of edge-chromatic critical graphs: a brief survey and some equivalences

Eckhard Steffen, Saptarshi Bej, E. Steffen, 2017 .

Hamiltonian cycles in annular decomposable Barnette graphs

S. Bej, Saptarshi Bej, 2020, Journal of Discrete Mathematical Sciences and Cryptography.

ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets

M. Wolfien, Kristian Schultz, Saptarshi Bej, 2023, Pattern Recognit..

Whole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis

T. Karlsen, D. Ellinghaus, Florian Uellendahl-Werth, 2023, JHEP reports : innovation in hepatology.

On extension of regular graphs

Anirban Banerjee, S. Bej, Saptarshi Bej, 2015, 1509.05476.

Accounting for diverse feature-types improves patient stratification on tabular clinical datasets

Jit Sarkar, Kristian Schultz, Saptarshi Bej, 2023, Machine Learning with Applications.