Archive Files

Volume 4, 2023 / Edição 3

Special Issue: Machine Learning for Biology
Guest Editors: Ritambhara Singh & Padmanabhan Seshaiyer

DOI: 10.1615/JMachLearnModelComput.v4.i3

Table of Contents:

LETTER FROM THE EDITORS: THE EMERGING NEED FOR BIOLOGICALLY INSPIRED AND MATHEMATICALLY GUIDED MACHINE LEARNING FOR KNOWLEDGE DISCOVERY IN BIOLOGY Ritambhara Singh, Padmanabhan Seshaiyer

Ritambhara Singh
Department of Computer Science, Brown University, 115 Waterman St., Providence, RI, 02906, USA; Center for ComputationalMolecular Biology, Brown University, 164 Angell St., Providence, RI, 02906, USA

Padmanabhan Seshaiyer
Department of Mathematical Sciences, George Mason University, 4400 University Drive, MS: 3F2, Planetary Hall, Fairfax, Virginia 22030, USA

v-vii páginas
DOI: 10.1615/JMachLearnModelComput.2023049680

NEURALGENE: INFERRING GENE REGULATION AND CELL-FATE DYNAMICS FROM NEURAL ODES Yutong Sha, Yuchi Qiu, Qing Nie

Yutong Sha
Department of Mathematics, University of California, Irvine, California 92697, USA

Yuchi Qiu
Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, USA

Qing Nie
Department of Mathematics, University of California, Irvine, California 92697, USA; Department of Developmental and Cell Biology, University of California, Irvine, California 92697, USA; The NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, California 92697, USA

1-15 páginas
DOI: 10.1615/JMachLearnModelComput.2023047369

MACHINE LEARNING FOR PREDICTING THE DYNAMICS OF INFECTIOUS DISEASES DURING TRAVEL THROUGH PHYSICS INFORMED NEURAL NETWORKS Alonso G. Ogueda-Oliva, Erika Johanna Martínez-Salinas, Viswanathan Arunachalam, Padmanabhan Seshaiyer

Alonso G. Ogueda-Oliva
Department of Mathematical Sciences, George Mason University, Fairfax, Virginia 22030, USA

Erika Johanna Martínez-Salinas
Departamento de Estadística, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá 111321, Colombia

Viswanathan Arunachalam
Departamento de Estadística, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá 111321, Colombia

Padmanabhan Seshaiyer
Department of Mathematical Sciences, George Mason University, 4400 University Drive, MS: 3F2, Planetary Hall, Fairfax, Virginia 22030, USA

17-35 páginas
DOI: 10.1615/JMachLearnModelComput.2023047213

EVALUATING THE COMPLEXITY OF GENE COEXPRESSION ESTIMATION FOR SINGLE-CELL DATA Jiaqi Zhang, Ritambhara Singh

Jiaqi Zhang
Department of Computer Science, Brown University, 115 Waterman St., Providence, RI, 02906, USA

37-82 páginas
DOI: 10.1615/JMachLearnModelComput.2023047230

PHYSICS-INFORMED NEURAL NETWORKS FOR INFORMED VACCINE DISTRIBUTION INMETA-POPULATIONS Alvan Caleb Arulandu, Padmanabhan Seshaiyer

Alvan Caleb Arulandu
Thomas Jefferson High School for Science and Technology, Alexandria, Virginia 22312, USA

Padmanabhan Seshaiyer
Department of Mathematical Sciences, George Mason University, 4400 University Drive, MS: 3F2, Planetary Hall, Fairfax, Virginia 22030, USA

83-99 páginas
DOI: 10.1615/JMachLearnModelComput.2023047642

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