Application of computerized image processing in functional genomics: preliminary results
Bibliographic record
Abstract
Recent strives in the developing field of functional genomics calls for computerized systems that are capable of providing accurate quantitative data for researchers in biology and genetics. In a current research, the biologists are interested in exploring the effect of various drugs on functionality of genes. Study of size change in drug treated colonies of yeast, implies information about those gene pathways that are affected by the drug. Here we report the development of an automated image analysis system, which is able to distinguish and extract true yeast colonies from other objects in a digital image, accurately measure their area, and provide a coordinate oriented map of colony areas. The developed system also executes post processing calculations and presents useful statistical parameters associated with corresponding colony pairs. For those experiments that were attempted multiple number of times, a precision test has been designed to monitor the level of harmony between the results of trials. Image processing techniques such as spatial adjustments, segmentation and region growing are utilized in the development of system. Preliminary results show that this automated system offers a significant improvement over the manual scoring of yeast plates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".