MATH 7340 — Statistics for Bioinformatics
4 semester hoursGraduateLectureusually offered: fall, springOnlineToronto, CanadaOnlineTraditional
Introduces the concepts of probability and statistics used in bioinformatics applications, particularly the analysis of microarray data. Uses statistical computation using the open-source R program. Topics include maximum likelihood; Monte Carlo simulations; false discovery rate adjustment; nonparametric methods, including bootstrap and permutation tests; correlation, regression, ANOVA, and generalized linear models; preprocessing of microarray data and gene filtering; visualization of multivariate data; and machine-learning techniques, such as clustering, principal components analysis, support vector machine, neural networks, and regression tree.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 60 | 80 | 75% | 10.0 |
| Spring 2024 | 3 | 91 | 120 | 76% | 9.7 |
| Fall 2024 | 3 | 59 | 70 | 84% | 3.7 |
| Spring 2025 | 4 | 94 | 102 | 92% | 2.0 |
| Fall 2025 | 4 | 94 | 100 | 94% | 1.5 |
| Spring 2026 | 4 | 96 | 110 | 87% | 3.5 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 2% · Th 2% · F 0%
Common patterns: async (96% of sections), W (2% of sections), R (2% of sections) — in patterns, R means Thursday
Professors
Fall
- Valerie Hower (68% of students) · reviews
- Rekha Bai (28% of students) · reviews
- Samaneh Gholami (3% of students) · reviews
- Oyeronke Ayansola (1% of students) · reviews
Spring
- Valerie Hower (96% of students) · reviews
- Samaneh Gholami (4% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list MATH 7340 in their prerequisites.
Links
Official catalog (MATH course descriptions) · Student reviews on RateMyHusky · All MATH courses · Plan it at numap.app