BIOMEDIN 212:
Introduction to Biomedical Informatics Research Methodology (BIOE 212, CS 272, GENE 212)
Handson software building. Student teams conceive, design, specify, implement, evaluate, and report on a software project in the domain of biomedicine. Creating written proposals, peer review, providing status reports, and preparing final reports. Guest lectures from professional biomedical informatics systems builders on issues related to the process of project management. Software engineering basics. Because the team projects start in the first week of class, attendance that week is strongly recommended. Prerequisites: BIOMEDIN 210 or 211 or 214 or 217 or consent of instructor.
Terms: Spr

Units: 3

Grading: Medical Option (MedLtrCR/NC)
BIOMEDIN 245:
Statistical and Machine Learning Methods for Genomics (BIO 268, CS 373, GENE 245, STATS 345)
Introduction to statistical and computational methods for genomics. Sample topics include: expectation maximization, hidden Markov model, Markov chain Monte Carlo, ensemble learning, probabilistic graphical models, kernel methods and other modern machine learning paradigms. Rationales and techniques illustrated with existing implementations used in population genetics, disease association, and functional regulatory genomics studies. Instruction includes lectures and discussion of readings from primary literature. Homework and projects require implementing some of the algorithms and using existing toolkits for analysis of genomic datasets.
Terms: Spr

Units: 3

Grading: Medical Option (MedLtrCR/NC)
BIOMEDIN 258:
Genomics, Bioinformatics and Medicine (BIOC 158, BIOC 258, HUMBIO 158G)
Molecular basis of inherited human disease. Diagnostics approaches: simple Mendelian diseases and complex, multifactorial diseases. Genomics: functional genomics, epigenetics, gene expression, SNPs, copy number and other structural genomic variations involved in disease. Novel therapeutic methods: stem cell therapy, gene therapy and drug developments that depend on the knowledge of genomics. Personal genomics, pharmacogenomics, clinical genomics and their role in the future of preventive medicine. Prerequisites: BIO 41 or HUMBIO 2A or consent of instructor. Those with credit in BIOC 118 not eligible to enroll. Course webpage: http://biochem158.stanford.edu/
Terms: Aut, Win, Spr

Units: 3

Repeatable for credit

Grading: Medical Option (MedLtrCR/NC)
BIOMEDIN 290:
Biomedical Informatics Teaching Methods
Handson training in biomedical informatics pedagogy. Practical experience in pedagogical approaches, variously including didactic, inquiry, project, team, case, field, and/or problembased approaches. Students create course content, including lectures, exercises, and assessments, and evaluate learning activities and outcomes. Prerequisite: instructor consent.
Terms: Aut, Win, Spr, Sum

Units: 16

Repeatable for credit

Grading: Medical Option (MedLtrCR/NC)
Instructors: ;
Altman, R. (PI);
Ashley, E. (PI);
Bagley, S. (PI);
Bassik, M. (PI);
Batzoglou, S. (PI);
Bayati, M. (PI);
Bejerano, G. (PI);
Bhattacharya, J. (PI);
Blish, C. (PI);
Boahen, K. (PI);
Brandeau, M. (PI);
Brutlag, D. (PI);
Bustamante, C. (PI);
Butte, A. (PI);
Chang, H. (PI);
Cherry, J. (PI);
Cohen, S. (PI);
Covert, M. (PI);
Das, A. (PI);
Das, R. (PI);
Davis, R. (PI);
Desai, M. (PI);
Dill, D. (PI);
Dumontier, M. (PI);
Elias, J. (PI);
Fagan, L. (PI);
Feldman, M. (PI);
Ferrell, J. (PI);
Fraser, H. (PI);
Gambhir, S. (PI);
Gevaert, O. (PI);
Goldstein, M. (PI);
Greenleaf, W. (PI);
Guibas, L. (PI);
Hastie, T. (PI);
Hlatky, M. (PI);
Holmes, S. (PI);
Ji, H. (PI);
Karp, P. (PI);
Khatri, P. (PI);
Kim, S. (PI);
Kirkegaard, K. (PI);
Klein, T. (PI);
Koller, D. (PI);
Krummel, T. (PI);
Kundaje, A. (PI);
Levitt, M. (PI);
Levitt, R. (PI);
Li, J. (PI);
Longhurst, C. (PI);
Lowe, H. (PI);
Mallick, P. (PI);
Manning, C. (PI);
McAdams, H. (PI);
Meng, T. (PI);
Menon, V. (PI);
Montgomery, S. (PI);
Musen, M. (PI);
Napel, S. (PI);
Nolan, G. (PI);
Olshen, R. (PI);
Owen, A. (PI);
Owens, D. (PI);
Paik, D. (PI);
Pande, V. (PI);
Petrov, D. (PI);
Plevritis, S. (PI);
Poldrack, R. (PI);
Pritchard, J. (PI);
RiedelKruse, I. (PI);
Rubin, D. (PI);
Sabatti, C. (PI);
Salzman, J. (PI);
Shachter, R. (PI);
Shafer, R. (PI);
Shah, N. (PI);
Sherlock, G. (PI);
Sidow, A. (PI);
Snyder, M. (PI);
Tang, H. (PI);
Taylor, C. (PI);
Theriot, J. (PI);
Tibshirani, R. (PI);
Utz, P. (PI);
Walker, M. (PI);
Wall, D. (PI);
Winograd, T. (PI);
Xing, L. (PI);
Habebo, T. (GP);
Kanagawa, K. (GP);
Thompson, J. (GP)
BIOMEDIN 299:
Directed Reading and Research
For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor. (Staff)
Terms: Aut, Win, Spr, Sum

Units: 118

Repeatable for credit

Grading: Medical Option (MedLtrCR/NC)
Instructors: ;
Altman, R. (PI);
Ashley, E. (PI);
Bagley, S. (PI);
Bassik, M. (PI);
Batzoglou, S. (PI);
Bayati, M. (PI);
Bejerano, G. (PI);
Bhattacharya, J. (PI);
Blish, C. (PI);
Boahen, K. (PI);
Brandeau, M. (PI);
Brutlag, D. (PI);
Bustamante, C. (PI);
Butte, A. (PI);
Chang, H. (PI);
Cherry, J. (PI);
Cohen, S. (PI);
Covert, M. (PI);
Das, A. (PI);
Das, R. (PI);
Davis, R. (PI);
Desai, M. (PI);
Dill, D. (PI);
Dumontier, M. (PI);
Elias, J. (PI);
Fagan, L. (PI);
Feldman, M. (PI);
Ferrell, J. (PI);
Fraser, H. (PI);
Gambhir, S. (PI);
Gevaert, O. (PI);
Goldstein, M. (PI);
Greenleaf, W. (PI);
Guibas, L. (PI);
Hastie, T. (PI);
Hlatky, M. (PI);
Holmes, S. (PI);
Ji, H. (PI);
Karp, P. (PI);
Khatri, P. (PI);
Kim, S. (PI);
Kirkegaard, K. (PI);
Klein, T. (PI);
Koller, D. (PI);
Krummel, T. (PI);
Kundaje, A. (PI);
Levitt, M. (PI);
Li, J. (PI);
Longhurst, C. (PI);
Lowe, H. (PI);
Mallick, P. (PI);
Manning, C. (PI);
McAdams, H. (PI);
Meng, T. (PI);
Menon, V. (PI);
Montgomery, S. (PI);
Musen, M. (PI);
Napel, S. (PI);
Nolan, G. (PI);
Olshen, R. (PI);
Owen, A. (PI);
Owens, D. (PI);
Paik, D. (PI);
Pande, V. (PI);
Petrov, D. (PI);
Plevritis, S. (PI);
Poldrack, R. (PI);
Pritchard, J. (PI);
RiedelKruse, I. (PI);
Rubin, D. (PI);
Sabatti, C. (PI);
Salzman, J. (PI);
Shachter, R. (PI);
Shafer, R. (PI);
Shah, N. (PI);
Sherlock, G. (PI);
Sidow, A. (PI);
Snyder, M. (PI);
Tang, H. (PI);
Taylor, C. (PI);
Theriot, J. (PI);
Tibshirani, R. (PI);
Tu, S. (PI);
Utz, P. (PI);
Walker, M. (PI);
Wall, D. (PI);
Winograd, T. (PI);
Xing, L. (PI);
Cisneros, S. (GP);
Habebo, T. (GP);
Kanagawa, K. (GP);
Thompson, J. (GP)
BIOMEDIN 370:
Medical Scholars Research
Provides an opportunity for student and faculty interaction, as well as academic credit and financial support, to medical students who undertake original research. Enrollment is limited to students with approved projects.
Terms: Aut, Win, Spr, Sum

Units: 418

Repeatable for credit

Grading: Medical School MD Grades
Instructors: ;
Altman, R. (PI);
Ashley, E. (PI);
Bagley, S. (PI);
Bassik, M. (PI);
Batzoglou, S. (PI);
Bayati, M. (PI);
Bejerano, G. (PI);
Bhattacharya, J. (PI);
Blish, C. (PI);
Boahen, K. (PI);
Brandeau, M. (PI);
Brutlag, D. (PI);
Bustamante, C. (PI);
Butte, A. (PI);
Chang, H. (PI);
Cherry, J. (PI);
Cohen, S. (PI);
Covert, M. (PI);
Das, A. (PI);
Das, R. (PI);
Davis, R. (PI);
Desai, M. (PI);
Dev, P. (PI);
Dill, D. (PI);
Dumontier, M. (PI);
Elias, J. (PI);
Fagan, L. (PI);
Feldman, M. (PI);
Ferrell, J. (PI);
Fraser, H. (PI);
Gambhir, S. (PI);
Gevaert, O. (PI);
Goldstein, M. (PI);
Greenleaf, W. (PI);
Guibas, L. (PI);
Hastie, T. (PI);
Hlatky, M. (PI);
Holmes, S. (PI);
Ji, H. (PI);
Karp, P. (PI);
Khatri, P. (PI);
Kim, S. (PI);
Kirkegaard, K. (PI);
Klein, T. (PI);
Koller, D. (PI);
Krummel, T. (PI);
Kundaje, A. (PI);
Levitt, M. (PI);
Li, J. (PI);
Longhurst, C. (PI);
Lowe, H. (PI);
Mallick, P. (PI);
Manning, C. (PI);
McAdams, H. (PI);
Meng, T. (PI);
Menon, V. (PI);
Montgomery, S. (PI);
Musen, M. (PI);
Napel, S. (PI);
Nolan, G. (PI);
Olshen, R. (PI);
Owen, A. (PI);
Owens, D. (PI);
Paik, D. (PI);
Pande, V. (PI);
Petrov, D. (PI);
Plevritis, S. (PI);
Poldrack, R. (PI);
Pritchard, J. (PI);
RiedelKruse, I. (PI);
Rubin, D. (PI);
Sabatti, C. (PI);
Salzman, J. (PI);
Shachter, R. (PI);
Shafer, R. (PI);
Shah, N. (PI);
Sherlock, G. (PI);
Sidow, A. (PI);
Snyder, M. (PI);
Tang, H. (PI);
Taylor, C. (PI);
Theriot, J. (PI);
Tibshirani, R. (PI);
Tu, S. (PI);
Utz, P. (PI);
Walker, M. (PI);
Wall, D. (PI);
Winograd, T. (PI);
Xing, L. (PI);
Habebo, T. (GP);
Kanagawa, K. (GP);
Thompson, J. (GP)
BIOMEDIN 801:
TGR Master's Project
Project credit for masters students who have completed all course requirements and minimum of 45 Stanford units.
Terms: Aut, Win, Spr, Sum

Units: 0

Repeatable for credit

Grading: TGR
Instructors: ;
Altman, R. (PI);
Ashley, E. (PI);
Bagley, S. (PI);
Bassik, M. (PI);
Batzoglou, S. (PI);
Bayati, M. (PI);
Bejerano, G. (PI);
Bhattacharya, J. (PI);
Blish, C. (PI);
Boahen, K. (PI);
Brandeau, M. (PI);
Brutlag, D. (PI);
Bustamante, C. (PI);
Butte, A. (PI);
Chang, H. (PI);
Cherry, J. (PI);
Cohen, S. (PI);
Covert, M. (PI);
Das, A. (PI);
Das, R. (PI);
Davis, R. (PI);
Desai, M. (PI);
Dill, D. (PI);
Dumontier, M. (PI);
Elias, J. (PI);
Fagan, L. (PI);
Feldman, M. (PI);
Ferrell, J. (PI);
Fraser, H. (PI);
Gambhir, S. (PI);
Gevaert, O. (PI);
Goldstein, M. (PI);
Greenleaf, W. (PI);
Guibas, L. (PI);
Hastie, T. (PI);
Hlatky, M. (PI);
Holmes, S. (PI);
Ji, H. (PI);
Karp, P. (PI);
Khatri, P. (PI);
Kim, S. (PI);
Kirkegaard, K. (PI);
Klein, T. (PI);
Koller, D. (PI);
Krummel, T. (PI);
Kundaje, A. (PI);
Levitt, M. (PI);
Li, J. (PI);
Longhurst, C. (PI);
Lowe, H. (PI);
Mallick, P. (PI);
Manning, C. (PI);
McAdams, H. (PI);
Meng, T. (PI);
Menon, V. (PI);
Montgomery, S. (PI);
Musen, M. (PI);
Napel, S. (PI);
Nolan, G. (PI);
Olshen, R. (PI);
Owen, A. (PI);
Owens, D. (PI);
Paik, D. (PI);
Pande, V. (PI);
Petrov, D. (PI);
Plevritis, S. (PI);
Poldrack, R. (PI);
Pritchard, J. (PI);
RiedelKruse, I. (PI);
Rubin, D. (PI);
Sabatti, C. (PI);
Salzman, J. (PI);
Shachter, R. (PI);
Shafer, R. (PI);
Shah, N. (PI);
Sherlock, G. (PI);
Sidow, A. (PI);
Snyder, M. (PI);
Tang, H. (PI);
Taylor, C. (PI);
Theriot, J. (PI);
Tibshirani, R. (PI);
Tu, S. (PI);
Utz, P. (PI);
Walker, M. (PI);
Wall, D. (PI);
Winograd, T. (PI);
Xing, L. (PI);
Habebo, T. (GP);
Kanagawa, K. (GP);
Thompson, J. (GP)
BIOMEDIN 802:
TGR PhD Dissertation
Terms: Aut, Win, Spr, Sum

Units: 0

Repeatable for credit

Grading: TGR
Instructors: ;
Altman, R. (PI);
Ashley, E. (PI);
Bagley, S. (PI);
Bassik, M. (PI);
Batzoglou, S. (PI);
Bayati, M. (PI);
Bejerano, G. (PI);
Bhattacharya, J. (PI);
Blish, C. (PI);
Boahen, K. (PI);
Brandeau, M. (PI);
Brutlag, D. (PI);
Bustamante, C. (PI);
Butte, A. (PI);
Chang, H. (PI);
Cherry, J. (PI);
Cohen, S. (PI);
Covert, M. (PI);
Das, A. (PI);
Das, R. (PI);
Davis, R. (PI);
Desai, M. (PI);
Dill, D. (PI);
Dumontier, M. (PI);
Elias, J. (PI);
Fagan, L. (PI);
Feldman, M. (PI);
Ferrell, J. (PI);
Fraser, H. (PI);
Gambhir, S. (PI);
Gevaert, O. (PI);
Goldstein, M. (PI);
Greenleaf, W. (PI);
Guibas, L. (PI);
Hastie, T. (PI);
Hlatky, M. (PI);
Holmes, S. (PI);
Ji, H. (PI);
Karp, P. (PI);
Khatri, P. (PI);
Kim, S. (PI);
Kirkegaard, K. (PI);
Klein, T. (PI);
Koller, D. (PI);
Krummel, T. (PI);
Kundaje, A. (PI);
Levitt, M. (PI);
Li, J. (PI);
Longhurst, C. (PI);
Lowe, H. (PI);
Mallick, P. (PI);
Manning, C. (PI);
McAdams, H. (PI);
Meng, T. (PI);
Menon, V. (PI);
Montgomery, S. (PI);
Musen, M. (PI);
Napel, S. (PI);
Nolan, G. (PI);
Olshen, R. (PI);
Owen, A. (PI);
Owens, D. (PI);
Paik, D. (PI);
Pande, V. (PI);
Petrov, D. (PI);
Plevritis, S. (PI);
Poldrack, R. (PI);
Pritchard, J. (PI);
RiedelKruse, I. (PI);
Rubin, D. (PI);
Sabatti, C. (PI);
Salzman, J. (PI);
Shachter, R. (PI);
Shafer, R. (PI);
Shah, N. (PI);
Sherlock, G. (PI);
Sidow, A. (PI);
Snyder, M. (PI);
Tang, H. (PI);
Taylor, C. (PI);
Theriot, J. (PI);
Tibshirani, R. (PI);
Tu, S. (PI);
Utz, P. (PI);
Walker, M. (PI);
Wall, D. (PI);
Winograd, T. (PI);
Xing, L. (PI);
Boyd, S. (GP);
Habebo, T. (GP);
Kanagawa, K. (GP);
Thompson, J. (GP)
BIOMEDIN 201:
Biomedical Informatics Student Seminar
Participants report on recent articles from the Biomedical Informatics literature or their research projects. Goals are to teach critical reading of scientific papers and presentation skills. May be repeated three times for credit.
Terms: Aut, Win, Spr, Sum

Units: 1

Repeatable for credit

Grading: Medical Satisfactory/No Credit
BIOMEDIN 206:
Informatics in Industry
Effective management, modeling, acquisition, and mining of biomedical information in healthcare and biotechnology companies and approaches to information management adopted by companies in this ecosystem. Guest speakers from pharmaceutical/biotechnology companies, clinics/hospitals, health communities/portals, instrumentation/software vendors. May be repeated for credit.
Terms: Spr

Units: 1

Repeatable for credit

Grading: Medical Satisfactory/No Credit
BIOMEDIN 251:
Outcomes Analysis (HRP 252, MED 252)
Methods of conducting empirical studies which use large existing medical, survey, and other databases to ask both clinical and policy questions. Econometric and statistical models used to conduct medical outcomes research. How research is conducted on medical and health economics questions when a randomized trial is impossible. Problem sets emphasize handson data analysis and application of methods, including reanalyses of wellknown studies. Prerequisites: one or more courses in probability, and statistics or biostatistics.
Terms: Spr

Units: 4

Grading: Medical Option (MedLtrCR/NC)
BIOMEDIN 260:
Computational Methods for Biomedical Image Analysis and Interpretation (RAD 260)
The latest biological and medical imaging modalities and their applications in research and medicine. Focus is on computational analytic and interpretive approaches to optimize extraction and use of biological and clinical imaging data for diagnostic and therapeutic translational medical applications. Topics include major image databases, fundamental methods in image processing and quantitative extraction of image features, structured recording of image information including semantic features and ontologies, indexing, search and contentbased image retrieval. Case studies include linking image data to genomic, phenotypic and clinical data, developing representations of image phenotypes for use in medical decision support and research applications and the role that biomedical imaging informatics plays in new questions in biomedical science. Includes a project. Enrollment for 3 units with reduced project requirements requires instructor consent. Prerequisites: programming ability at the level of CS 106A, familiarity with statistics, basic biology. Knowledge of Matlab highly recommended.
Terms: Spr

Units: 34

Grading: Medical Option (MedLtrCR/NC)
BIOMEDIN 390A:
Curricular Practical Training
Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any followup on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum

Units: 1

Grading: Medical Satisfactory/No Credit
BIOMEDIN 390B:
Curricular Practical Training
Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any followup on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum

Units: 1

Grading: Medical Satisfactory/No Credit
BIOMEDIN 390C:
Curricular Practical Training
Provides educational opportunities in biomedical informatics research. Qualified biomedical informatics students engage in internship work and integrate that work into their academic program. Students register during the quarter they are employed and must complete a research report outlining their work activity, problems investigated, key results, and any followup on projects they expect to perform. BIOMEDIN 390A, B, and C may each be taken only once.
Terms: Aut, Win, Spr, Sum

Units: 1

Grading: Medical Satisfactory/No Credit