New Results
miRbiom: Machine-Learning on Bayesian Causal Nets of RBP-miRNA interactions successfully predicts miRNA profiles
Upendra Kumar Pradhan, Nitesh Kumar Sharma, Prakash Kumar, Ashwani Kumar, Sagar Gupta, Ravi Shankar
doi: https://doi.org/10.1101/2020.06.18.156851
Upendra Kumar Pradhan
1Studio of Computational Biology & Bioinformatics, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), 176061, India
2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh-201 002
3ICAR-Indian Agricultural Statistics Research Institute Library Avenue, Pusa, New Delhi, Delhi 110012
Nitesh Kumar Sharma
1Studio of Computational Biology & Bioinformatics, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), 176061, India
2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh-201 002
Prakash Kumar
1Studio of Computational Biology & Bioinformatics, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), 176061, India
2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh-201 002
3ICAR-Indian Agricultural Statistics Research Institute Library Avenue, Pusa, New Delhi, Delhi 110012
Ashwani Kumar
1Studio of Computational Biology & Bioinformatics, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), 176061, India
Sagar Gupta
1Studio of Computational Biology & Bioinformatics, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), 176061, India
Ravi Shankar
1Studio of Computational Biology & Bioinformatics, CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), 176061, India
2Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh-201 002
Posted September 07, 2021.
miRbiom: Machine-Learning on Bayesian Causal Nets of RBP-miRNA interactions successfully predicts miRNA profiles
Upendra Kumar Pradhan, Nitesh Kumar Sharma, Prakash Kumar, Ashwani Kumar, Sagar Gupta, Ravi Shankar
bioRxiv 2020.06.18.156851; doi: https://doi.org/10.1101/2020.06.18.156851
Subject Area
Subject Areas
- Biochemistry (9581)
- Bioengineering (7087)
- Bioinformatics (24847)
- Biophysics (12598)
- Cancer Biology (9952)
- Cell Biology (14348)
- Clinical Trials (138)
- Developmental Biology (7945)
- Ecology (12103)
- Epidemiology (2067)
- Evolutionary Biology (15985)
- Genetics (10921)
- Genomics (14736)
- Immunology (9869)
- Microbiology (23648)
- Molecular Biology (9478)
- Neuroscience (50841)
- Paleontology (369)
- Pathology (1539)
- Pharmacology and Toxicology (2681)
- Physiology (4013)
- Plant Biology (8655)
- Synthetic Biology (2391)
- Systems Biology (6427)
- Zoology (1346)