diff --git a/error.csv b/error.csv
index 1febafd..2921208 100644
--- a/error.csv
+++ b/error.csv
@@ -1,3 +1,3 @@
add.POSIXct,viz_owner_repo,error
-2025-11-26T16:31:33.742225Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
-2025-11-26T16:31:33.742225Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
+2025-12-19T10:20:16.493868Z,tdhock/tdhock-figure-nnet-regression-degrees,Capture.PNG download returned 404: Not Found
+2025-12-19T10:20:16.493868Z,tdhock/animint-figure-nnet-regression-degrees,plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz
diff --git a/index.html b/index.html
index 5415e27..a4f9cd9 100644
--- a/index.html
+++ b/index.html
@@ -293,7 +293,7 @@
animint2 gallery
align="left">repo
source
-
+
 |
Classifying Covid19 chest X-ray images |
@@ -301,7 +301,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Variable size train sets, classification |
@@ -310,7 +310,7 @@ animint2 gallery
source
video
-
+
 |
Variable size train set, regression |
@@ -319,7 +319,7 @@ animint2 gallery
source
video
-
+
 |
SOAK algorithm: train/predict on subsets,
@@ -329,7 +329,7 @@ animint2 gallery
source
video |
-
+
 |
SOAK algorithm: train/predict on subsets,
@@ -339,7 +339,7 @@ animint2 gallery
source
video |
-
+
 |
Overfitting using linear model polynomial degree and
@@ -348,7 +348,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Overfitting using linear model polynomial degree and
@@ -357,7 +357,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Overfitting using linear model polynomial degree,
@@ -366,7 +366,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Overfitting using linear model polynomial degree |
@@ -375,7 +375,7 @@ animint2 gallery
source
video
-
+
 |
Initial/optimized AUM/AUC for change-point
@@ -384,7 +384,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Sugar Maple accuracy and variable selection |
@@ -392,7 +392,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Table Mountain Pine accuracy and variable
@@ -401,7 +401,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Sugar Maple ROC curves and error/accuracy metrics |
@@ -409,7 +409,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Table Mountain Pine ROC curves and error/accuracy
@@ -418,7 +418,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
L2-regularized (Ridge) least squares linear
@@ -427,7 +427,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Gradient descent with several step sizes for 1d linear
@@ -436,7 +436,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Gradient descent for 1d linear regression in ozone
@@ -445,7 +445,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Nearest neighbors algorithm for regression |
@@ -453,7 +453,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Nearest neighbors for regression with 2D inputs |
@@ -461,7 +461,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Nearest neighbors algorithm for classification |
@@ -469,7 +469,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
4 fold cross-validation |
@@ -477,7 +477,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
AIC/BIC change-point detection comparison using ROC
@@ -486,7 +486,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
bacteria_fungi_conservative visualization |
@@ -494,7 +494,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
bacteria_fungi_conservative visualization |
@@ -502,7 +502,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
breakpoints select multiple segmentation models |
@@ -510,7 +510,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
US Tornado Visualization |
@@ -519,7 +519,7 @@ animint2 gallery
source
video
-
+
 |
Central American Temperature Maps |
@@ -528,7 +528,7 @@ animint2 gallery
source
video
-
+
 |
World Bank data viz for Animint paper |
@@ -537,7 +537,7 @@ animint2 gallery
source
video
-
+
 |
ChIP-seq Unaligned |
@@ -546,7 +546,7 @@ animint2 gallery
source
video
-
+
 |
Montreal cyclists and accidents, 2009-2014 |
@@ -555,7 +555,7 @@ animint2 gallery
source
video
-
+
 |
Demo of Constrained Pruned Dynamic Programming
@@ -564,7 +564,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Cost/slack minimization over all feature thresholds,
@@ -573,7 +573,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Segmentation model selection with BIC |
@@ -581,7 +581,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Gradient descent for neural network and linear
@@ -590,7 +590,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Gradient descent for regression |
@@ -598,15 +598,15 @@ animint2 gallery
align="left">repo
source
-
+
 |
-Climate change sensor stations |
+CRUTEM4 Temperature Sensor Stations |
repo
-source |
+source
-
+
 |
Labeled optimal partitioning (LOPART) algorithm for
@@ -615,7 +615,7 @@ animint2 gallery
align="left">repo
source |
-
+
 |
Animint compiler with for loops |
@@ -623,7 +623,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Changepoint detection ROC curve alignment problem |
@@ -631,7 +631,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Changepoint model selection |
@@ -639,7 +639,7 @@ animint2 gallery
align="left">repo
source
-
+
 |
Max-margin interval regression for supervised
@@ -648,6 +648,15 @@ animint2 gallery
align="left">repo
source |
+
+ |
+Max-margin supervised penalty learning for peak
+detection in ChIP-seq data |
+repo
+source |
+
Download this table: meta.csv
diff --git a/meta.csv b/meta.csv
index 9167d24..c2573e7 100644
--- a/meta.csv
+++ b/meta.csv
@@ -46,9 +46,10 @@ add.POSIXct,viz_owner_repo,video,source,title
2025-05-27T08:01:05.116130Z,suhaani-agarwal/intreg-BIC,"",https://github.com/suhaani-agarwal/animint/blob/master/inst/examples/intreg_BIC.R,Segmentation model selection with BIC
2025-05-27T11:22:32.142369Z,suhaani-agarwal/Ch18-neural-networks-sim,"",https://github.com/suhaani-agarwal/animint-book/blob/master/Ch18-neural-networks-sim.R,Gradient descent for neural network and linear model
2025-05-27T11:50:29.187449Z,suhaani-agarwal/figure-gradient-descent-regression,"",https://github.com/suhaani-agarwal/cs570-spring-2022/blob/master/figure-gradient-descent-regression.R,Gradient descent for regression
-2025-06-23T04:40:48.175167Z,biplab-sutradhar/climate-change-sensor-stations,"",https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/gh-pages/figure-stations.R,Climate change sensor stations
+2025-06-23T04:40:48.175167Z,biplab-sutradhar/climate-change-sensor-stations,"",https://github.com/biplab-sutradhar/climate-change-sensor-stations/blob/main/figure-stations.R,CRUTEM4 Temperature Sensor Stations
2025-08-29T13:23:46.091420Z,tdhock/2025-08-29-LOPART-candidates-grid,"",https://github.com/tdhock/LOPART-paper/blob/master/figure-candidates-interactive.R,Labeled optimal partitioning (LOPART) algorithm for change-point detection with label constraints
2025-08-26T07:19:01.288519Z,biplab-sutradhar/Data-viz-with-206-selectors,"",https://github.com/biplab-sutradhar/Data-viz-with-206-selectors/blob/gh-pages/PSJ.R,Animint compiler with for loops
2025-06-18T08:46:23.746985Z,suhaani-agarwal/ROC-curve-alignment,"",https://github.com/suhaani-agarwal/max-generalized-auc/blob/master/figure-curveAlignment.R,Changepoint detection ROC curve alignment problem
2025-08-25T13:41:41.008040Z,suhaani-agarwal/figure-loss-small-data,"",https://github.com/tdhock/changepoint-data-structure/blob/master/figure-loss-small-data.R,Changepoint model selection
-2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
\ No newline at end of file
+2025-11-15T15:24:19.490278Z,ANAMASGARD/dna-copy-number-large-margin,"",https://github.com/ANAMASGARD/dna-copy-number-viz-code/blob/main/intreg.R,Max-margin interval regression for supervised segmentation model selection
+2025-12-08T15:39:28.834598Z,ANAMASGARD/chip-seq-large-margin,"",https://github.com/ANAMASGARD/chip-seq-large-margin-code/blob/main/chip-seq-large-margin.R,Max-margin supervised penalty learning for peak detection in ChIP-seq data
\ No newline at end of file
diff --git a/repos.txt b/repos.txt
index 2e51a42..ead2e75 100644
--- a/repos.txt
+++ b/repos.txt
@@ -53,3 +53,4 @@ biplab-sutradhar/Data-viz-with-206-selectors
suhaani-agarwal/ROC-curve-alignment
suhaani-agarwal/figure-loss-small-data
ANAMASGARD/dna-copy-number-large-margin
+ANAMASGARD/chip-seq-large-margin
diff --git a/repos/ANAMASGARD/chip-seq-large-margin.png b/repos/ANAMASGARD/chip-seq-large-margin.png
new file mode 100644
index 0000000..4f953c7
Binary files /dev/null and b/repos/ANAMASGARD/chip-seq-large-margin.png differ